Meet The Team

Eda Seibitz

eda.seibitz[a.t_))uni-hamburg.de

 
Since December 2021, I am part of CoSy.Bio Institute`s dynamic young team, as assistant of Prof. Dr. Jan Baumbach.Before I started working at Hamburg University, I have been working on major international event projects as a Event Planner.  
Now, I am looking forward to support our international team and organize their daily administrative life, so they can fully enjoy researching!

Dr. Christina Saak 

christina.caroline.saak[a.t_))uni-hamburg.de

I have been a science manager for CoSy.Bio since December 2021. Together with my colleague Dr. Nina Wenke, we manage grant applications, projects and day-to-day business of the institute. I did my PhD at Harvard University, where I studied how Proteus mirabilis utilizes a type VI secretion system to engage in bacterial social interactions. For my postdoctoral studies, I moved to the University of California - San Diego. Here, I used multi-platform metagenomics to study horizontal gene transfer in cheese rind microbiomes.

Dr. Olga Tsoy

olga.tsoy[a.t_))uni-hamburg.de

I’m a group leader of the Computational Genomics and Transcriptomics group (cgat-group.de). My main research interest is mechanisms of pathological conditions such as diseases with complex phenotypes and drug side effects and the role of alternative splicing. I graduated from Lomonosov Moscow State University (Moscow, Russia) and did PhD in Kharkevich Institute in Moscow in Professor Mikhail Gelfand's lab. There I studied the evolution of transcriptional regulatory networks in bacteria. During my PhD, I shortly stayed at Stowers Institute for Medical Research (Kansas-City, USA), and at Okinawa Institute of Science and Technology (Okinawa, Japan) where I went on working on the regulation of bacterial metabolic pathways. As a research scientist, I worked at the Skolkovo Institute of Science and Technology (Moscow) on 3D chromatin structure analysis. In 2019, I joined the group of Professor Jan Baumbach at the Technical University of Munich, and continued working with the group at the University of Hamburg.

Daniel Buchberger

daniel.buchberger[a.t_))uni-hamburg.de

 
Since October 2021, I’m one of three admins in the CoSy.bio networks Team. Before I joined Hamburg University, I had a chance to get 2 years experience in a software development company as well as 1,5 years of experience at a social media agency.
 
What's my journey here? Well, try to offer my technical knowledge and experience in an easy way to everyone who needs a solution. For our future I wish for awesome projects with nice features (and for the fun some bugs) and great new things to see and learn. 
 
 
My main interest is to stay curios can be an easy way to grow with the challenge.

Dr. Holger Henning

holger.hennig[at.))itmp.fraunhofer.de

I'm an external group leader at the Cosy.Bio lab. Originally trained as a physicist, and after a postdoc in physics at Harvard, I transitioned to the biomedical field in 2013 at the Broad Institute of Harvard and MIT. I was working in the Imaging platform developing machine learning methodologies. Since then I work with passion in biomedical research in different roles in academia and industry. Current research topics include:
- Synthetic medical data, generative AI and federated learning as part of the EU project SYNTHIA (Synthetic data generation framework for integrated validation of use cases and AI healthcare applications), see https://www.ihi-synthia.eu/ for more information.
- Knowledge graphs and graph neural networks, see e.g. "Morphological map of under- and over-expression of genes in human cells", https://www.biorxiv.org/content/10.1101/2024.12.02.624527v1

Dr. Khalique Newaz

khalique.newaz[a.t_))uni-hamburg.de

I am a Junior Group Leader at Cosy.Bio since Jan. 2025 (group webpage: NeStOme). 
From Oct. 2021 until Dec. 2024, I was a postdoc at the Center for Data Science and Computing, University of Hamburg.
Before that, I completed my Ph.D. in Computer Science at the University of Notre Dame, USA.
My research interest are:  modeling and analysis of protein 3D structures, 
development of network theoretic strategies to analyze biological data,
prediction and analysis of protein-protein interactions, and disease informatics with a specific focus on cancer.

Dr. Tanja Laske

tanja.laske[a.t_))uni-hamburg.de

​I am leading the independent junior research group “Viral Systems Modeling” at the Leibniz Institute of Virology (LIV) and I am also an associated group leader at CoSyBio at the University of Hamburg. I studied Biosystems Engineering at the Otto von Guericke University Magdeburg and obtained the Master’s degree for my experimental studies on adenoviral vector production in animal cell cultures, which I performed at IBET/ITQB-UNL in Lisbon, Portugal. During my PhD, I continued infection research in the dry lab and built mathematical models of virus replication dynamics to support the optimization of influenza vaccine production at the Bioprocess Engineering department at the Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg. To model complex diseases and biological processes in silico, my group develops innovative computational methods that link bioinformatics multi-omics analysis, dynamic models and AI. Such models allow to systematically analyze factors that influence biological processes and facilitate the development of new treatment options. For instance, one of our aims is to understand impaired bone defect healing within the SyMBoD project. Importantly, our main research focus is on elucidating the antiviral potential of defective viral genomes for improved prevention and treatment of infectious diseases, which sparked within the Vir-AI-DIP project funded by the University of Hamburg’s excellence initiative.

Andreas Maier

andreas.maier-1(a.t_))uni-hamburg.de

In May 2021, I started as a PhD student at CoSy.Bio (UHH). My current tasks include work surrounding the REPO-TRIAL drug repurposing project. I contribute in the development of network-based drug repurposing solutions but also in the research for applications of LLMs in systems medicine for knowledge generation and extraction. In August 2020, I joined the Chair of Experimental Bioinformatics at TUM for the thesis of my Bioinformatics master's degree.There, I focused on the development of a web application for the analysis and exploration of heterogeneous molecular disease networks.

Darius Schaub

darius.schaub[at.))zmnh.uni-hamburg.de

I am a Ph.D. candidate at Cosy.Bio, where I develop methods for spatial omics data analysis, focusing on spatial domain identification and spatiotemporal modeling. Previously, I earned my M.Sc. in Applied/Computational Mathematics and completed my thesis on deep reinforcement learning for combinatorial optimization in collaboration with Harvard Medical School. I also gained industry experience as a data scientist at SICK AG, developing algorithms for predictive maintenance.

Franco Salvatore

franco.salvatore[a.t_))uni-hamburg.de

I will join CoSy.Bio in October 2025 as a PhD candidate. I graduated as a Licenciated in Biological Sciences from the University of Buenos Aires (UBA), where I worked for more than four years in a Structural Bioinformatics Laboratory at the Institute of Biological Chemistry (IQUIBICEN–UBA). My thesis focused on developing a machine learning model to predict the pathogenicity of all possible missense variants in human hemoglobin (HbA). I benchmarked this model against AlphaMissense and complemented it with detailed structural bioinformatics analyses to better understand the molecular basis of disease-associated missense mutations.

In addition to my thesis work, I contributed to a project with the Global Antibiotic Research & Development Partnership (GARDP), where I characterized the active sites of bacterial ATPase proteins, built and validated AlphaFold structural models, and supported the search and identification of potential inhibitory ligands. I also worked at the LUCAI Bio start-up, where I led and contributed to projects on enzyme design using structural modeling and deep learning tools such as AlphaFold, RoseTTAFold-All-Atom, and Boltz, as well as on the discovery and characterization of naturally occurring sweet proteins as alternatives to sugar, among several other AI-driven projects.

My main expertise lies in structural bioinformatics combined with a programming background and machine learning, aiming towards deep learning and genomics. I am particularly interested in how these computational approaches can be applied to biomedical and clinical questions.

Jeanine Liebold

jeanine.liebold[a.t_))uni-hamburg.de

Since April 2022, I am a PhD student at CoSy.Bio and at the Chair of Genome Informatics of Prof. Stefan Kurtz, both at the University of Hamburg. My research interests are mainly in machine learning and deep learning, with a focus on the application of these methods to bioinformatics problems, in particular, the prediction of protein-protein interactions in the event of alternative splicing. I hold a master’s degree in Intelligent Adaptive Systems from the University of Hamburg, where I wrote my master’s thesis on feature recognition in audio and video data with deep learning. Before that, I received my bachelor’s degree in Electrical and Information Engineering from HAW Hamburg.

Julian Klemm

julian.klemm[a.t_))uni-hamburg.de

I'm a Ph.D. student at CoSy.Bio since April 2023 and part of the FeatureCloud and Microb-AI-Ome project.
I studied by B.Sc. of Biology at University Hamburg as well as my M.Sc. of Bioinformatics also at University Hamburg. In my master thesis I focused on privacy enhancing techniques for federated learning, especially differential privacy, while in my PhD my focus is on a federated data warehouse to allow easier data sharing in a privacy preserving manner. Generally, I'm focused on bringing privacy preserving tools for almost effortless federated collaboration.

Kester Bagemihl

kester.bagemihl(a.t_))uni-hamburg.de

After completing my Bachelor's degree in Biology at the University of Düsseldorf, I pursued a Master's degree in Bioinformatics at the University of Hamburg, where I developed a strong interest in applying computational methods to biological problems. I am currently a PhD student at the University of Hamburg, focusing on the use of Large Language Models (LLMs) and Federated Learning in biomedical research. 

Lena Hackl

lena.hackl(a.t_))uni-hamburg.de

I’m a PhD candidate at CoSy.Bio since April 2021 after finishing my M.Sc. Computer Science at TUM. Before, I gained some experience with ligand binding site prediction using CNNs and Class Activation maps at Rostlab and with single cell analysis in human T-cell immunology at Zielinski Lab. At the Chair of Experimental Bioinformatics at TUM I worked on exon-specific differences in microRNA regulation due to alternative splicing for my Master’s thesis. Currently I'm excited to research the application of deep learning methods for extracting splice junctions from RNAseq data with low sequencing depth.

Mahdie Rafiei

mahdie.rafiei(a.t_))uni-hamburg.de

I have been a PhD student at the Chair of Computational Systems Biology at the University of Hamburg since January 2023 and I am part of the PhysioAI project. The primary aim of PhysioAI is to assess and enhance AI-powered multimodal tools for measuring physical activity in osteoarthritis treatment. I am particularly interested in Deep Learning, Transfer Learning, and Federated Learning. I received an M.Sc. in Computer Science from QIAU in 2021. My master's thesis focused on the research of recommender systems using machine learning techniques. Throughout my studies, I worked for over 5 years in tech companies as a web developer.

Mohammad Mehdi Razavi

 mohammadmehdi.razavi[a.t))uni-hamburg.de

I joined CoSy.Bio in April 2025 as a PhD student, focusing on bioinformatics and computational biology. My research involves applying data science and machine learning techniques to analyze single-cell RNA sequencing data, with the goal of understanding immune responses and advancing immunotherapy strategies.
I hold a Master’s degree in Data Science from Sapienza University of Rome, where I specialized in bioinformatics and network medicine, and a Bachelor’s degree in Computer Engineering from Sharif University of Technology, Tehran. At CoSy.Bio, I aim to contribute to systems biology research through multi-omics integration, survival analysis, and network-based approaches to complex biological systems.

Mia Le

mia.le[a.t_))uni-hamburg.de

I am a PhD student engaged in a collaborative project on Nanopore sequencing between the Outbreak Preparedness and Response (OPR) group at the Bernhard-Nocht-Institute for tropical medicine (BNITM) and CoSyBio. I came to CoSyBio in 2021 as a master’s student when I implemented CAMI, a tool for disease module identification. I then moved on to work on my master’s thesis which involved the AI-based analysis of time series sequencing data of influenza A virus Defective Interfering Particles. I hold a master’s degree in bioinformatics from the University of Hamburg and a bachelor’s degree in biotechnology from the Technical University of Braunschweig.Currently, my PhD research involves the exploration of genome dynamics of hemorrhagic fever viruses in Nanopore sequencing data with a focus on defective viral genomes.

Mohammad Bakhtiari

mohammad.bakhtiari[a.t_))uni-hamburg.de

I am a Ph.D. Research Assistant at the CoSy.Bio lab, University of Hamburg, where I focus on developing privacy-preserving AI solutions for biomedical and clinical applications. My research lies at the intersection of federated learning, secure computation, and foundation models for sensitive health data.

I initially contributed to the development of the FeatureCloud platform, addressing privacy and security challenges in federated AI systems. Currently, my work focuses on privacy-preserving federated training and the application of foundation models to omics data, particularly single-cell transcriptomics, as well as medical imaging and biosignal data.

Niklas Probul

niklas.probul[a.t_))uni-hamburg.de

I've been pursuing my PhD at CoSy.Bio since October 2021. My main research focus involves examining the connection between the gut microbiome and colorectal cancer, with a particular emphasis on exploring the potential applications of federated learning in this domain. Furthermore, I'm an active member of the FeatureCloud core development team, where I'm involved in implementing a federated database and overseeing various sysops tasks. While my expertise lies in Federated Learning and Random Forests, I have a deep interest in all aspects of data science!

Silke Van Elferen

silke.van.elferen[a.t_))uni-hamburg.de

I'm a master's student at the University of Maastricht, studying Drug Development and Neurohealth. In January 2023 I will be returning to Cosy.Bio to work on my master's thesis under the supervision of Dr. Olga Tsoy and Lena Hackl. I will be looking at tissue-specific andbloodbased biomarkers in cardiomyopathies. In 2021/2022, I first joined CoSy.Bio to work on the thesis for my MSc degree in Systems Biology (Maastricht University), under the supervision of Dr. Olga Zolotareva, working towards a federated implementation of a DNA methylation microarray data analysis workflow. Before this, I obtained a BSc (Hons) degree in Forensic Science at Anglia Ruskin University.

Supratim Das

supratim.das[a.t_))uni-hamburg.de

Starting in September 2022, I am joining CoSy.Bio as a doctoral student. I received my BS and MS from the Indian Institute of Science Education and Research (IISER) – Pune. My background is in Life Sciences and Data Sciences. During my MS thesis, I worked on Genomic Data Enhancement using Deep Learning with Dr. Xinghua Shi (Temple University, PA). My research interest encompasses the interdisciplinary areas of Biology and Machine Learning. 

Yuliya Burankova

yuliya.burankova[a.t_))uni-hamburg.de

Since March 2023, I've joined CoSy.Bio as a visiting researcher and have started a PhD at TUM's Proteomics and Bioanalytics chair. I have an interdisciplinary background in pharmacy and computational and molecular biology, and am interested in tool development for personalized medicine and biomarker discovery. As part of the CLINSPECT-M project, my focus is on federated learning in mass-spectrometry proteomics. Currently, I am developing FedProt, a novel method for privacy-preserving federated differential protein expression analysis. Additionally, I am involved in developing UnPaSt, the unsupervised patient stratification method, and clinical RNAseq data analysis.

Ann-Sofie Schäfer

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In 2023, I joined CoSy.Bio as a science communicator and was entrusted with overseeing the social media presence. My journey took me from Munich to Hamburg in 2021, where I started studying Biology at the University of Hamburg and finished my Bachelor's degree.
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 I am currently doing my Masters in Bioinformatics at the University of Hamburg. In addition to my studies, I have been supporting the research of Khalique Newaz as a HiWi since November 2024.

Mohamed Abouzid

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Mohamed Abouzid is currently pursuing his Master’s degree in Bioinformatics at Justus-Liebig University Gießen. For his Master’s thesis, he is working at the CosyBio. His research focuses on StrucTFactor, a software tool that utilizes deep learning methods to predict transcription factor proteins, bridging the gap between machine learning and biological networks. He earned his Bachelor’s degree in Pharmaceutical Sciences from Suez Canal University in Egypt and he is passionate about applying data science and machine learning to solve complex biological problems, with a particular interest in biological network analysis.

Teodor Terziev

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I will join CoSy.Bio as a research assistant in July 2025, supporting the QuADro project. The objective is to create quantum techniques for statistical learning within the field of network medicine. At present, I am pursuing a bachelor's degree in Computing in Science at the University of Hamburg.

​Prof. Dr. Vasco Azevedo

vasco[a.t_))icb.ufmg.br

Prof. Vasco Azevedo, DVM, M.Sc, PhD, FESC is a visiting professor in our laboratory. He holds a full professorship position at the Federal University of Minas Gerais in Belo Horizonte, Brazil. Prof. Azevedo is a pioneer of genetics of lactic acid bacteria and corynebacterium pseudotuberculosis in Brazil. He published >240 papers in bacterial genetics, functional genomics, the development of new vaccines against and diagnostics for infectious diseases, as well as on the bioinformatics analyses of transcriptomics and proteomics data sets. He is associate editor of Genetics and Molecular Research, and member of the editorial boards of the Open Veterinary Science Journal and the International Journal of Microbiology.

Francisca Modinger

maria.modinger.larrain[a.t_))uni-hamburg.de

 
I joined the CoSyBio team in September 2023. 
 
In terms of my education, I studied Business Administration and Management (BWL). Additionally, I hold a Master's Degree in Service and Development. 
 
Previously, I worked in the copper industry as a supply-chain manager.
 
As part of my current position, I provide support to the team by taking on various responsibilities such as organizing and planning tasks to ensure smooth workflow. My aim is to facilitate the Team's work so they can focus on what they do best.

Dr. Nina Kerstin Wenke

nina.wenke[a.t_))uni-hamburg.de

As the Science Manager of CoSy.Bio, collaborating closely with my colleague Dr. Christina Saak to spearhead proposal writing, manage grant applications, and coordinate various projects. My journey with the CoSy.Bio team commenced in 2019 when I joined the Technical University Munich. Prior to this, I earned my M.Sc. in Biotechnology at the Max Planck Institute for Molecular Biomedicine in Muenster. Following this, I embarked on my doctoral research in Berlin, delving into autoimmune encephalitis at the German Center for Neurodegenerative Diseases (DZNE) and the Charité University Hospital.

Dr. Olga Zolotareva

olga.zolotareva[a.t_))uni-hamburg.de

I specialize in the analysis of biomedical multi-omics data, discovery of biomarkers, gene prioritization, and drug response prediction. Since May 2021, I am heading research group Computational and Systems Medicine at the UHH. We develop algorithms and create computational tools for exploration of disease heterogeneity and patient stratification, reconstruction of regulatory networks, and prioritization of drugs and drug targets. Since the privacy of patient-derived data is a major roadblock on the way of personalized medicine, we work on privacy-aware methods for distributed patients’ data analysis.

Dr. Fernando M. Delgado Chaves

fernando.miguel.delgado-chaves[a.t_))uni-hamburg.de

I began my scientific journey in biotechnology and biomedicine, working in wet lab research on molecular biology, genetics, and disease mechanisms. My early work involved experimental techniques such as CRISPR-Cas9 gene editing, transcriptomics, and cellular modeling to study cancer, developmental biology, and infectious diseases.
As I delved deeper into biomedical research, I recognized the transformative potential of computational methods in deciphering complex biological systems. This led me to transition into bioinformatics, where I specialized in network biology, multi-omics data integration, and algorithm development for gene network reconstruction. My doctoral research focused on designing advanced computational models to extract disease insights from large-scale transcriptomics data.
Building on this foundation, I now lead a research group at the University of Hamburg dedicated to generative AI in biomedicine. My work integrates large language models (LLMs) and AI-driven analytics to enhance drug repurposing, personalized medicine, and disease module identification. By combining expertise in bioinformatics with the latest advancements in generative AI, my team aims to accelerate biomedical discoveries and transform data-driven healthcare.

Dr. Julian Matschinske

julian[a.t_))dehaze.de

I obtained my master's degree in computer science from Friedrich-Alexander University Erlangen-Nürnberg (2019). During my studies, I have been working as a professional full-stack web developer in my own company. At TUM and later UHH, I was part of the EU Horizon2020 FeatureCloud project, doing my PhD in computer science. My focus mainly lies on machine learning and data privacy in conjunction with federated systems. Today, I am working with CosyBio on dehaze, a company aiming to bring precision medicine into clinical practice. I have a passion for difficult technical challenges requiring an analytical approach and cross-domain expertise.

Dr. Mhaned Oubounyt

mhaned.oubounyt[a.t_))uni-hamburg.de

I am a postdoc at CoSy.Bio working on the NetMap project, where we are developing a dimensionality reduction method for single-cell molecular data based on the explanatory power of differential regulatory networks. My research interests include single-cell transcriptomics and spatial single-cell network analysis. Specifically, I focus on developing methods for inferring gene co-expression and gene regulatory networks from single-cell data and spatial single-cell data.

Dr. Zoe Chervontseva

zoia.chervontseva[a.t_))uni-hamburg.de

Since April 2023, I have joined CoSy.Bio as a postdoc. My primary research interest is employing interpretable machine learning techniques to gain new biological insights. I did my PhD under the guidance of Professor Mikhail Gelfand at IITP RAS (Moscow, Russia). My doctoral research was focused on investigating the role of mRNA secondary structure in mRNA editing of cephalopods. Additionally, I worked as a junior researcher at the Skolkovo Institute of Science and Technology and contributed to several projects in the fields of bacterial genomics and human alternative splicing research.

Arvid Hutzfeldt

a.hutzfeldt[a.t_))uke.de

I’m a PhD candidate at the CoSy.Bio institute, working in close collaboration with Markus Rinschen at the UKE. Here, I use different Proteomics approaches to research inflammatory glomerular diseases in mice as well as in human tissue samples and kidney organoids. Before, I absolved my Master in Biomedicine at the MHH in Hannover and my Bachelor in Molecular Life Sciences in Lübeck. During my Master thesis, I focussed on the characterization of regulatory proteins involved in the P. aeruginosa Type III secretion system.

Farzaneh Firoozbakht

farzaneh.firoozbakht[a.t_))uni-hamburg.de

I am a research associate at the CoSy.Bio lab since April 2023, working on the DrugSiderAI and PosyMed projects. I earned a B.Sc. in Electrical Engineering from IAU and an M.Sc. in Biomedical Engineering from AUT. During my master’s program, I gained experience in signal processing and machine learning (ML) methods for biomedical applications. Following my graduation, I conducted research on applying ML techniques to transcriptomic data, with the aim of advancing personalized medicine. Additionally, I focused on network-based approaches and gained experience working with graph convolutional neural networks to capture the complex relationships in biological data. My primary research interest lies at the crossroads of applying network-based ML to the field of medicine. I am excited to continue exploring this field and contributing to cutting-edge research as part of the CoSy.Bio team.

Jan-Ole Schulze

jan-ole.schulze[at.))uni-hamburg.de

I joined CosyBio as a PhD student in November 2024. I have a background in computer science, holding a master’s degree in Informatics from UHH, and I previously worked as a software engineer.  My research interests encompass data science in biomedicine, particularly machine and deep learning techniques for patient stratification

Jens Lohmann

jens.lohmann[a.t_))uni-hamburg.de

Since July 2023, I am a PhD student at CoSy.Bio. My studies focus on improving the health journey of patients by developing approaches for computer-supported personalized medicine. My current focus is developing a virtual twin model for diabetes type II patients. Beforehand, I explored defective viral genomes as novel therapeutic agents and applied federated learning techniques for histopathology foundation models in prostate cancer research. I received my bachelor's degree in Technical Biology at the University of Hamburg and continued with the master's program in Bioinformatics at the University of Hamburg.

Klaudia Adamowicz

klaudia.adamowicz(a.t_))uni-hamburg.de

 
From May 2021, I will start as a PhD candidate at CoSy.Bio at the University of Hamburg. After joining the Institute of Computational Biology (ICB) at Helmholtz Zentrum München, where I worked on single cell RNA seq analysis during my master internship, I extended my collaboration to work on a machine learning project with tensorflow 2. My interest in machine learning led me to the Chair of Experimental Bioinformatics at the Technical University of Munich for my master thesis, where I worked on node centrality measures for disease module identification to create new algorithms for use in drug repurposing.
In the future I will work on the development of a platform for integration of research and clinical data and interlink them with bioinformatics, machine learning and simulation models.

Kristopher Nolte

kristopher.nolte[a.t))bnitm.de

I am a PhD student at the Bernhard Nocht Institute for Tropical Medicine (BNITM) and am involved in research into mosquito biology. My focus is on the application of machine learning to analyse patterns in mosquito wings. This research aims to improve our understanding of mosquito biology and vector surveillance methods, contributing to the overall goal of mitigating the impact of mosquito-borne diseases such as malaria and dengue fever. My academic path began with a degree in biochemistry at the University of Würzburg, later switching to health sciences in Hamburg. I am particularly interested in computer vision and the extraction of biologically relevant information from images. Before my current job, I did research at DESY, where I studied X-ray diffraction patterns through the lens of machine learning and at the BNITM to investigate the usefulness of open access data for disease modelling.

Lucia Dicunta

lucia.dicunta[a.t_))uni-hamburg.de

I’m a PhD student in the Computational Systems Biology group at the University of Hamburg, where I started in May 2025. I hold a degree in Electronic Engineering from the University of Catania and a Master’s in Data Science from Sapienza University of Rome.
My engineering background provides the technological foundation to mathematically model complex systems, while my data science training focuses on applying and extending these models to extract meaningful insights from biomedical data. My work focuses on the implementation of data-driven technologies that help clinicians make better use of complex biological information, while respecting the sensitivity of patient data.
I am currently part of a project developing a software for federated learning, which enables collaborative biomedical research without compromising data privacy. Within this project, my work involves investigating microbiome data and its relationship with colorectal cancer as well as designing sophisticated solutions for data modeling within the software framework.

Marius Klages

marius[a.t_))dehaze.de

Marius graduated from WHU with a B.S. in Business Administration and from Harbour.Space University with an MBA and M.E. in Data Science. Prior to working on bringing the federated learning technology from academic usage into the market, Marius built up his own startup in preventive health, which was then sold to BEAT81.

Merle Stahl

merle.stahl[a.t_))tum.de

Since May 2025, I have been a Ph.D. student at CoSy.Bio as part of the QuADro project, where we develop quantum methods for statistical learning in network medicine.
I have a background in Bioinformatics, holding a Bachelor’s degree from UHH and a Master’s degree from TUM / LMU in Munich. During my studies, I worked as a student assistant with Prof. Stefan Kurtz in the field of genome informatics. For my Master’s thesis, I joined the DaiSyBio group led by Prof. Markus List, focusing on the spatial mapping of single cells using machine learning approaches.

Michael Hartung 

michael.hartung[a.t_))uni-hamburg.de

 
I am a PhD student at the Institute for Computational Systems Biology at the University of Hamburg. I received a Bachelor's degree in Bioinformatics at the Goethe University in 2018 in Frankfurt, followed by a Master's degree in Bioinformatics at the TUM and LMU in Munich in 2021. I finished my Master's thesis by creating CADDIE, a web application for drug-repurposing in cancer. In 2019/20, I spent one year at the University of Helsinki. During my studies, I worked in different tech startups doing software development and engineering.
My research interests revolve around network-based drug repurposing as well as different approaches to in silico biomarker identification, developing tools like Drugst.One (https://drugst.one/), UnPaSt (https://apps.cosy.bio/unpast/) and the Epistasis Disease Atlas (https://epistasis-disease-atlas.com/home). 

Nico Kaiser

nico.kaiser[a.t_))zmnh.uni-hamburg.de

I started as a Ph.D. student at CoSy.Bio in August 2023. My research focus is the computational analysis of spatial multi-omics image data in a collaboration with the Universitätsklinikum Hamurg-Eppendorf (UKE). I earned my Bachelor's and Master's degree in medical engineering (at RAC Remagen and FAU Erlangen), where I specialized in utilizing deep learning and computer vision methods for medical image analysis. Before starting my Ph.D. I also worked as a software engineer for a company doing medical imaging software.

Roberta Girogi

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I began my PhD at CoSy.Bio in October 2025, following an academic journey that combines a Bachelor's degree in Bioinformatics and a Master's degree in Data Science, both from Sapienza University of Rome. This interdisciplinary background has allowed me to bridge the gap between biology and computational science, exploring how each field can enhance the other. During my thesis work, I focused on docking techniques and deep learning approaches in structural biology. Now, at CoSy.Bio, I continue this path with the TailorPhage project, which aims to develop alternative treatments for bacterial infections that no longer respond to conventional antibiotics.

Simon Süwer

simon.suewer[a.t_))uni-hamburg.de

Since January 2024 I am a PhD student at CoSy.Bio for the projects FeatureCloud (https://featurecloud.ai/) and dAIbetes. I completed my Bachelor of Science in Applied Computer Science at the University of Applied Sciences and Arts Hannover, followed by a Master of Science in Computer Science at the University of Vienna, specialising in Data Science. In my master thesis I worked on the combination of session- and sequence-based recommender systems in a dynamic Graph Neural Network (GNN), in particular on the development of hierarchical dynamic GNNs.
 
My current research aims at developing privacy-preserving tools that make federated collaboration not only easier, but almost effortless. By merging theory and practice, my goal is to create innovative solutions to complex challenges that redefine the way we think about data collaboration and privacy.

Tim Kleinlein

tim.kleinlein[a.t_))uni-hamburg.de

I joined CoSy.Bio as a PhD student in May 2025. I have a background in Computer Science and Statistics, holding a Master’s degree in Data Science from the University of Konstanz. My research interests lie in data science in biomedicine, particularly the application of machine and deep learning in precision medicine.
 
In my PhD, I focus on applying large language models (LLMs) to biomedical research, enabling knowledge extraction and discovery in systems medicine. Additionally, I develop privacy-preserving machine learning solutions for federated systems, focusing on secure data sharing and federated learning to improve patient outcomes while ensuring data privacy.

Adrian Hölzlwimmer

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I am currently enrolled in the Bioinformatics bachelor's program at TUM / LMU. I am set to join the CoSy.Bio team as a HiWi in March, where I will be working on the NeDRex project.

Mikko Kormann

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I joined CoSy.Bio as a student assistant in June 2025. As part of the QuADro project, I work on improving the efficiency of constructing gene regulatory networks from single-cell RNA transcriptomic data using quantum algorithms.

I am currently studying Computing in Science with a focus on Biochemistry at the University of Hamburg.

Sina Pralle

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I am currently a master’s student in Intelligent Adaptive Systems at the University of Hamburg. Before moving to Hamburg, I completed my Bachelor’s in Electrical and Computer Engineering in Bremen, where I gained some research experience in joint source-channel coding and signal classification.
In Fall 2024, I will join the CoSy.Bio team as a HiWi, where I will work on developing a protein language model that integrates secondary structure information.

Prof. Dr. Harald Schmidt

hschmidt[a.t_))ppmlab.net

Prof. Schmidt, MD PhD PharmD, is a visiting Professor of Pharmacology and Personalised Medicine working in Systems Medicine and drug repurposing from Maastricht University, Netherlands, and a collaborator in the H2020 projects REPO-TRIAL and FeatureCloud.

Alumni

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• Justus Wolff, Postdoc

• Fabio Boniolo, Postdoc at Dana-Farber Cancer Institute, Boston

• Melisa Klug,Field Application Scientist at Standard BioTools,Munich

• Michael Lauber,

• Tim Rose,Postdoc at Universität Heidelberg

• Marisol Salgado Albarrán, Postdoc at Universidad Nacional Autónoma de México

• Tim Kacprowski, Professor at Technical University of Brunswik

• Richard Röttger, Professor at University of Southern Denmark

• Anne-Christin Hauschild, Assistant Professor at University of Marburg

• David B. Blumenthal, Assistant Professor at University of Erlangen

• Josch Pauling, Group leader at Technical University of Munich

• Markus List, Group leader at Technical University of Munich

• Olga Lazareva, Postdoc at DKFZ Heidelberg

• Afsaneh Mohammadnejad, Assistant Professor at University of Southern Denmark

• Richa Batra, Postdoc at Helmholtz Center Munich

• Nicolas Alcaraz, Postdoc at Copenhagen University

• Eudes Barbosa, Postdoc at Helmholtz Center Munich

• Douglas Parise, Postdoc at Laboratory of Cellular and Molecular Genetics (UFMG), Brazil

• Mariana Parise, Postdoc  at Laboratory of Cellular and Molecular Genetics (UFMG), Brazil

• Alexander Groenning, Postdoc at Copenhagen University

• Jesper Lund, Postdoc at Hasso-Plattner-Institute Potsdam

• Evans Kataka, Data Scientist at Procter & Gamble

• Diogo Marinho, Postdoc at Roskilde University Hospital

• Lucas Ferreira, Postdoc at Imperial College London

• Pen Sun, Senior Bioinformatician at Bayer AG Berlin

• Rashid Ibragimov, Data Scientist at IBM Deutschland GmbH

• Tobias Wittkop, Senior Data Scientist at Adaptive Biotechnologies Lmtd

• Christian Wiwie, Bioinformatician at Qiagen Aarhus

• Anna Hartebrodt, PhD student at University of Southern Denmark

• Gregor Sturm, PhD student at Innsbruck Medical Center

• Paulo Vinicius Carvalho, Postdoc at University of Southern Denmark

• Simon Larsen, Senior Data Scientists at Energienet, Denmark

• Weilong Li, Postdoc at University of Helsinki, Finland

• Amit Fenn, Postdoc

• Zakaria Louadi, Postdoc

• Dr. Karen Manalastas-Cantos, Postdoc

• Dr. Sara Ashry Sayed Mohammed

• Maria Wörheide, Hemholtz Zentrum Munich

• Markus Hoffmann, NIH Bethesda

• Nikolai Köhler, Uni Heidelberg

• Michael Lauber, Hemholtz Zentrum Munich 

• Zakaria Louadi, Illumina​

• Dr. Sepideh Sadegh, Odense University Hospital

• Chit Tong Lio,  Postdoc in Bioinformatics at DaiSyBio / Technical University of Munich, Germany

• Aylin Del moral, Associate Professor, Universidad Autonoma Metropolitana

• Maria Elkjaer

• Julian Späth, Data Science Manager Start-up in the field of ‘AI in healthcare’