top of page

The Laske Group

Dr. Tanja Laske is a Junior Research Group Leader at the Leibniz
Institute of Virology (LIV) and an associated group leader at CoSyBio.
Visit Dr. Laske's group "Viral Systems Modeling" at LIV
https://www.leibniz-liv.de/en/research/research-units/viral-systems-modeling

Laske Tanja 1_2a.jpg

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.

Jan-Ole_edited_edited.jpg

Jan-Ole Schulze

jan-ole.schulze[a.t_))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

Mia-Le.png

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.

Kikky.webp

Klaudia Adamowicz

k.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.

Lohmann_cosybio.png

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.

Social Media

  • Twitter
  • LinkedIn

How to contact us/ Impressum

Institute for Computational Systems Biomedicine

Albert-Einstein-Ring 8-10

22761 Hamburg, Germany

E-Mail: management-cosybio.zbh(at.]]uni-hamburg.de

bottom of page