The Baumbach group


The Baumbach group at Cosy.Bio


Prof. Dr. Jan Baumbach


I'm director of the Cosy.Bio institute at the University of Hamburg since January 2021. In part time, I am also leading the Computational BioMedicine group at the University of Southern Denmark (since October 2012). Before, I have been chair of Experimental Bioinformatics at the Technical University of Munich, Junior Research group leader at the Max Planck Institute for Informatics and postdoctoral fellow at the University of California at Berkeley in the Algorithms Group of Richard Karp. In 2008, I received a doctoral degree from Bielefeld University where I worked in the Genome Informatics group of Jens Stoye and the Algorithms and Statistics for Systems Biology group of Sven Rahmann. During my studies I spent some time at the University of California at San Francisco in the lab of Tom Ferrin and at Rothamsted Research in the lab of Chris Rawlings.


Eda Seibitz


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


I have been a science manager for the Cosy.Bio institute since December 2021. I did my PhD at Harvard University in the Gibbs lab, 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 Dutton lab at the University of California - San Diego. Here, I used various metagenomics approaches to study horizontal gene transfer in cheese rind microbiomes.


Dr. Nina Kerstin Wenke


I'm the science manager of Cosy.Bio. I received my M.Sc. of Biotechnology working at the Max Planck Institute for Molecular Biomedicine in Muenster. Afterwards, I moved to Berlin to do my doctoral thesis at the German Center of Neurodegenerative Diseases (DZNE) and at the Charité University Hospital working on autoimmune encephalitis.


Dr. Olga Tsoy


I'm a Postdoc at Cosy.Bio working on the BMBF funded Sys_CARE project about alternative splicing in cardiac and renal diseases. I graduated from Lomonosov Moscow State University and did PhD in Kharkevich Institute in Moscow at professor Gelfand 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, where I went on working on regulation of bacterial metabolic pathways. As a research scientist, I worked in Skolkovo Institute of Science and Technology, Moscow on 3D chromatin structure analysis.


Dr. Olga Zolotareva




From May 2020, joined the Chair of Experimental Bioinformatics at TU Munich as a postdoc. I analyze proteomics data from Alzheimer's disease patients for the CLINSPECT-M project and participate in the development of federated machine learning methods. Currently, I am finishing my PhD at DiDy Research Training Group, Bielefeld University under the supervision of Ralf Hofestaedt and Martin Ester (Simon Fraser University, Canada). During my PhD studies, I worked on the development of a novel network-constrained biclustering method and its application on breast cancer expression data. In 2018 I did 9-months visiting research at Simon Fraser University where I participated in the project on multi-omics data integration for drug response prediction. 


Daniel Buchberger

Since October 2021, I’m one of three admins in the Cosybio 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. Amjad Ali



In September 2020, I joined (virtually; because of the COVID19 pandemic) the Chair of Experimental Bioinformatics at the TUM as a postdoctoral researcher funded by the Higher Education Commission (HEC) of Pakistan. I am working on a collaborative project “Microbiome Signatures - Functional Relevance in the Digestive Tract”. I contribute towards handling and analysis of heterogeneous experimental and medical multi-omics microbiome data sets. I did my Ph.D. in microbial genomics, from Federal University of Manas Gerais, Brazil, under the supervision of Prof. Vasco Azevedo. During my Ph.D., I have been working on comparative microbial genomics. Currently, I am working as an Assistant Professor at the National University of Sciences & Technology (NUST), Islamabad.


Dr. Karen Manalastas-Cantos


@CSSB, co-supervised together with Maya Topf


I studied molecular biology and computer science in the University of the Philippines Diliman, before specializing in computational structural biology during my PhD in EMBL Hamburg, where I helped develop tools for modeling protein and nucleic acid structures using a combination of low and high resolution information. Currently, my interests lie in combining structural and sequence information, possibly through deep learning, to elucidate new biological insights.


Dr. Khalique Newaz


I am a Postdoc at Cosy.Bio. Additionally, I am part of the Computational Systems Biology (CDL3) group at the Center for Data Science and Computing. My research interests lie in developing data (network) science approaches to explore and understand biological systems. Currently, I study the effect of alternative splicing (a phenomenon through which a single gene gives rise to multiple proteins) on the interactions between proteins.
I did my Ph.D. in Computer Science from the University of Notre Dame, USA, where I developed network-based computational methods to compare protein 3D structures. 

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Dr. Maria Elkjaer

I am an affiliated postdoc at Cosy.Bio working on the Lundbeck Foundation Postdoc 2021 granted project: “A brain reparatory network defined by integrative single-cell omics: FoxF2 signaling in astrocytes” in collaboration with Prof. Zsolt Illes Odense University Hospital (OUH) and Prof. Richard Röttger at University of Southern Denmark (SDU).

I did my PhD in the lab. of Prof. Zsolt Illes, Department of Neurology, OUH/SDU. Using a systems biology approach, I studied the evolution of different lesion types in micro dissected human brain areas from patients with multiple sclerosis. During my education, I have stayed in the lab. of Prof. Romana Höftberger, Institute of Neurology, Medical University of Vienna (MUV) and several times in the lab. of Prof. Richard Reynolds Lab., Division of Brain Sciences, Faculty of Medicine, Imperial College London.

My main research interest is to examine the pathogenesis of brain damages vs repair by using novel strategies and technologies.

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Dr. Tanja Laske


Since May 2021, I am a postdoctoral researcher at the Cosy.Bio lab 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. At Cosy.Bio, my overall goal is to address challenges in systems medicine by linking multi-omics data analysis with mechanistic models and machine learning techniques.


​Afsaneh Mohammadnejad


@SDU, co-supervised together with Qihua Tan and Richard Röttger

I am a PhD student at research unit of Epidemiology, Biostatistics and Biodemography at the University of Southern Denmark and a member of the Computational Biology group since March 2018. Currently, I am involved in developing methods for multivariate analysis of OMICS data. I hold a MSc degree in Applied Mathematics from SDU and I did my master thesis on GWAS.


Amit Fenn


I'm a PhD candidate at Cosy.Bio. My project is the study of alternative splicing in heart and kidney using machine learning to analyze multi-omics data. I studied cellular biology, specializing in the mitochondria, during my Master's at LMU. For my Master's thesis, I explored splicing within ribosomal protein genes, in the context of the biogenesis of mitochondria.


Andreas Maier


In May 2021, I start as a PhD student at Cosy.Bio at the UHH. My current tasks include work surrounding the REPO-TRIAL drug repurposing project. 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.



Arvid Hutzfeldt



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.


Carlos Salort Sánchez


@TUM, industrial PhD

I'm an industrial PhD student, working Huawei. I received my Bachelor's degree in Mathematics from Universitat de València, and my Master's degree in Modelling for Science and Engineering with Specialisation in Data Science from Universitat Autònoma de Barcelona. After some years working as a Data Scientist for a consulting firm in Barcelona, I moved to Munich to continue with my studies. My main research topics are related with Artificial Intelligence (classical Machine Learning and Deep Learning) and real time algorithms, and my current research topic is to apply these technologies into bioinformatics problems.


Chit Tong Lio


Since April 2020 I am a Ph.D. student at CoSy.Bio within the Sys_Care project. Before, I have been a biology master student from LMU Munich, where I have experience in working with sequencing data analysis. In my master thesis, I work at the Chair of Experimental Bioinformatics on time course network enrichment analysis on X-irradiated human fibroblast using TiCoNE and machine learning.


Dominika Hozakowska-Roszkowska


@SDU, co-supervised together with Richard Röttger

I am a PhD student since December 2018. I hold a uniform MSc degree in Medical Laboratory Science from Medical University of Warsaw (Poland) and MSc degree in Computational Biomedicine from University of Southern Denmark. Currently, I am working on a large-scale analysis and machine learning of the distribution of genetic traits in populations.


Fabio Boniolo


@TUM, co-supervised together with Markus List

I'm a PhD candidate affiliated with the Institute of Translational Cancer Research and Experimental Cancer Therapy (Saur lab, TUM Klinikum rechts der Isar) and with the Chair of Experimental Bioinformatics (Baumbach lab, TUM School of Life Sciences Weihenstephan). I received both my B.Sc. (2016) and my M.Sc. (2018) in biomedical engineering from Politecnico di Milano, Italy. During my studies, I had the chance to work as an intern at Industrie Biomediche Insubri S.A (Mezzovico-Vira, Switzerland), where I worked on the development of a bio-hybrid composite bone substitute for paediatric patients. Afterwards, I spent one year at ETH Zurich (Switzerland), where I investigated the development of advanced modelling techniques for Raman based spectral data as part of my Master’s Thesis in the Morbidelli Group. My research interests lie at the intersection between cancer biology, systems medicine, and biostatistics. In particular, I'm interested in the development of computational tools to assess the relationship between effectors and oncogenic phenotypes through multi-omics data integration and latent variable modelling.


Julian Matschinske


I am a PhD candidate at Cosy.Bio. 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 developer in my own company. At TUM, I am part of the EU Horizon2020 FeatureCloud project. My focus mainly lies on machine learning and data privacy in conjunction with federated systems.


Julian Späth


I'm a Ph.D. student at Cosy.Bio and part of the FeatureCloud/REPO-TRIAL project (Horizon2020). I received my B.Sc. in Medical Informatics and M.Sc. in Bioinformatics from the Eberhard Karls University Tübingen. In my master thesis, I implemented a Random Survival Forest (RSF) Python package to predict the survival of blood cancer patients based on molecular data. My focus lies on machine learning in biomedical applications. 

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Justus Wolff


@TUM, co-supervised together with Josch Pauling​


I'm an Industrial PhD and my research focus at Cosy.Bio is AI in Healthcare with a special emphasis on international growth of medical and economic impact.


Klaudia Adamowicz


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.


Lena Hackl


I’m a PhD candidate at Cosy.Bio since April 2021. I studied Computer Science at TUM and gained some experience with ligand binding site prediction in a project at Rostlab and as a research assistant on Human T-cell Immunology at Zielinski Lab. I joined the Chair of Experimental Bioinformatics at TUM to work on exon-specific differences in microRNA regulation due to alternative splicing for my Master’s thesis. Currently I'm interested in the study of alternative splicing in transcription factors.


Manuela Lautizi


@TUM, co-supervised together with Markus List and Tim Kacprowski

I’m a PhD student in the Chair of Experimental Bioinformatics in collaboration with the Institute of Pathology, both at TUM. I’ve originally joined Prof. Baumbach’s lab to work on my master’s thesis in bioinformatics, focused to identify pathway-based subnetwork of genes most significantly associated to survival time of cancer patients. Other topics of my interest are machine learning (both supervised and unsupervised), manipulation and analysis of the data from a statistical point of view. 


Maria Wörheide


@TUM, co-supervised together with Josch Pauling

I’m a PhD student affiliated with the chair of Experimental Bioinformatics at the Technical University of Munich (TUM) and the Institute of Computational Biology (ICB) at the Helmholtz Zentrum München. I received my Bachelor’s and Master’s degree in bioinformatics from the Ludwig-Maximilians-Universität and TUM. During my studies I became increasingly interested in systems biology and metabolomics. I am very excited to pursue this interest during my PhD, where I am focusing on multi-omics data integration and network-based target prioritisation in Alzheimer’s disease.

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Marisol Salgado Albarrán



I'm a PhD student affiliated with the Experimental Bioinformatics lab at TU Munich and the Cancer Epigenetics research group at National Cancer Institute in Mexico. My major research interest is cancer epigenomics, specifically the deregulation of gene expression related to the proteins BORIS and CTCF. Before, I obtained my Bachelor’s degree in Pharmaco-Biological Chemistry in 2015 at the National Autonomous University of Mexico and my Master's degree in Biological Sciences at the National Cancer Institute, Mexico. 


Markus Hoffmann


In March 2019, I joined the group as part of my master’s degree internship. During this time, I contributed to implementing SPONGEdb: A pan-cancer resource for competing endogenous RNA interactions. After my internship, I extended my work at the group as a HIWI working for Dr. David Blumenthal on C++ programming tasks, which helped to implement a framework for modeling epistatic interaction. As the framework results were promising, I chose to intensify my work in this field as part of my Master’s Thesis. I finished my Master’s Thesis - GenEpiSeeker: a tool for generic epistasis detection via local search – in September 2020. In October 2020, I decided to continue my work as a Ph.D. student. As a Ph.D. student, I will focus on computational methods to unravel gene-regulatory combinatorics of putative super-enhancers in cooperation with Prof. Dr. Lothar Hennighausen and the National Institute of Health (NIH), Maryland, USA.

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Melissa Klug


@TUM, co-supervised together with Markus List


My PhD project is a connection between the Molecular Cardiology lab at the Klinikum rechts der Isar Munich and the Chair of Experimental Bioinformatics. I received my B.Sc. of Biology from the University of Hohenheim, Stuttgart, in 2015 and my M.Sc. of Biology from the LMU Munich in 2019. The results of my Master thesis at the Molecular Cardiology lab laid the foundation of this joined project. I am aiming to deeply characterize the proteome and transcriptome of human blood platelets using (sc)RNA-sequencing, mass spectrometry and single-cell mass cytometry.


Mhaned Oubounyt


I am a PhD student Cosy.Bio. I received my Bachelor degree in Informatics and Electronics engineering from the Cadi Ayyad University of Sciences and Technology in Morocco, and my Master degree from Chonbuk National University in South Korea. During my Master thesis, I developed deep learning models for genomic data analysis such as RNA splicing quantification and DNA promoter sequences classification. I am currently working under SFB924 project to develop an integrative platform.


Michael Hartung


I am a PhD student at the Chair of Computational Systems Biology at the University of Hamburg. My research interests revolve around regulatory interaction networks. 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 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 was working in different tech startups doing software development and software engineering.


Michael Lauber


@TUM, co-supervised together with Markus List


In June 2019 I started my PhD at the Chair of Experimental Bioinformatics. I have received a bachelor's and master's degree in Biochemistry from TUM. During my masters, I also started to study computer science at LMU. For my master thesis, I joined the lab of Alex Marson at UC San Francisco and established a CRISPR screen to study transcriptional regulation in human regulatory T cells. After finishing my studies I continued to apply CRISPR in T cells at TUM for another year. However, I realized that bioinformatics and data analysis makes me the most excited. My main interest lies in genetic and epigenetic regulation.


Mohammad Bakhtiari


 From May 2021, I joined as a Ph.D. research assistant in Cosy.Bio lab at the University of Hamburg and be a part of the EU Horizon2020 FeatureCloud project. I am graduated from IUST with M.Sc. in Artificial Intelligence, where my master thesis was about hybrid recommendation systems using Bayesian networks. My current research is mainly focused on Federated Learning; I am also interested in AutoML, Multi-task Learning, and Meta-Learning.

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Monica Matchado


I am a Ph.D. student at Chair of Experimental Bioinformatics at TU Munich. I will be working on the Microbiome Project. I received my Bachelor's degree in Bioinformatics from Tamil Nadu Agricultural University and my Masters from Karunya Institute of Technology and Sciences, India. My master thesis was about building a draft genome annotation of Carica cauliflora using NGS pipeline. For my part-semester project, I worked on the characterization of Alternative Splicing events in Arabidopsis thaliana using the RNA-Seq approach at MPI-MP, Germany. After my masters, I worked as Research Fellow at Ganga Hospital, India where I focused on 16S Metagenomics as well as Proteomics. I am interested in learning and applying Machine learning concepts in solving biological questions.


Niklas Probul


I started as a PhD candidate at Cosy.Bio in October 2021. I am part of the FeatureCloud team and will be focussing on the development of a federated Database for the FeMAI project. I obtained my Bachelor and Master at Ludwig-Maximilan University Munich and the Technical University of Munich. In my Master's Thesis at the University of Southern Denmark I researched the possible inclusion of biological networks into the structure of autoencoders.


Nikolai Köhler


@TUM, co-supervised together with Josch Pauling​


I'm a PhD student at LipiTUM where I develop a scoring method for spectrum matches for the LipiTUM platform. before I have been a MSc student in Molecular Biotechnology at TUM with a special interest in bioinformatics and biochemical analytics. Through an internship at the University of Melbourne/Metabolomics Australia I gained practical experience in MS-based lipidomics analysis and the current computational and analytical challenges.


Olga Lazareva


@TUM, co-supervised together with Markus List


I'm a PhD student in the Chair of Experimental Bioinformatics at TU Munich. In 2015, I received a B.S. in Applied Mathematics in Moscow, and after some time in the industry, I moved to Rome to do an MSc in Data Science at La Sapienza University of Rome. I wrote my Master's thesis in the Chair of Experimental Bioinformatics on a problem of conjoint clustering of patients, networks and omics data and then stayed for my PhD. In January 2020 I have also received Fellowship from Zentrum Digitalisierung. Bayern (ZD.B) and now I am focusing on various unsupervised methods for multi-omics data integration and analysis.


Sepideh Sadegh


@TUM, co-supervised together with Tim Kacprowski

​I'm a PhD student in the Chair of Experimental Bioinformatics at TU Munich. I received my Bachelor’s degree in Biomedical Engineering from Amirkabir University of Technology (Tehran, Iran) and my Master’s degree in Bioinformatics from Saarland University (Saarbrücken, Germany). In my master thesis I analyzed disease-specific gene regulatory networks in terms of co-regulatory network motifs. My research interests include multi-omics data and network biology. I am currently involved in REPO-TRIAL, a H2020 funded drug repurposing project.

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Tim Rose


@TUM, co-supervised together with Josch Pauling

My name is Tim Rose. I'm a PhD student in the LipiTUM group. I received my Bachelor's degree in Quantitative Biology in Düsseldorf, where I did my thesis on equilibrium behavior of the Pentose Phosphate Pathway. After that, I worked on a master's project in modeling of radiation response of cancer cells to obtain a M.Sc. degree in Biophysics.
My research interests are analysis and modeling of multi-omics data, development of software tools for simulations/analysis and HPC. I think the utilization of multi-omics data is the key to infer the complexity of cells and get an understanding of how the different levels relate to each other and result in a specific phenotype. In my PhD project I work on data mining, analysis pipelines and the integration of lipidomics with other omics data.


Zakaria Louadi


I am a Ph.D. student at The University of Hamburg and Technical University of Munich. I developed the software DIGGER, NEASE, and Deep Splicing Code. My work mainly focuses on transcriptomics data analysis, with emphasis on the role of alternative splicing.


Lisi Arend


I’m a masters student in Bioinformatics at the Technical University of Munich and Ludwig-Maximilians-Universität München since October 2020. I developed a federated Cox proportional hazard model app for the FeatureCloud platform for my bachelor thesis. Recently, I have worked with cytometry data and built CYANUS - CYtometry ANalysis Using Shiny - a user-friendly R Shiny App allowing the user to analyze cytometry data. Currently, I am working as a HiWi at the chair and work within the SyMBoD project.


Tilman Immisch


I’m an HCI Bachelors Student in the Research Group Knowledge Technology at UHH, developing and researching Semantic Memory for use with popular Reinforcement Learning Algorithms. I’m also currently working as a HiWi at Cosy.Bio, helping develop the DiNiro Tool for De novo reconstruction of transcriptional gene regulatory network modules.



@TUM, co-supervised together with Julian Matschinske

I studied Bioinformatics at the LMU and TUM. And joined the FeatureCloud project as a hiwi. 


Prof. Dr. Harald Schmidt


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.


Prof. Dr. Vasco Azevedo


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.


  • Tim Kacprowski, Professor at Technical University of Brunswik
  • Richard Röttger, Professor at University of Southern Denmark
  • Anne-Christin Hauschild, Assistant Prof. at University of Marburg
  • David B. Blumenthal, Assistant Prof. at University of Erlangen
  • Josch Pauling, Group leader at Technical University of Munich
  • Markus List, Group leader at Technical University of Munich
  • 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