The Laske Group

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

I am a postdoctoral researcher and junior research group leader 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 team and me develop innovative computational methods that link bioinformatics multi-omics analysis with dynamic models to improve model predictions for complex diseases and biological processes, such as bone defect healing within the SyMBoD project. Furthermore, I am developing methodologies for artificial intelligence-based research of defective interfering particles within the Vir-AI-DIP project. Using machine and deep learning techniques we analyze and optimize the antiviral potential of defective viral genomes for improved prevention and treatment of infectious diseases.

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

Since July 2023, I am a PhD student at CoSy.Bio. I am currently exploring the mechanisms of Defective Interfering Particles in Influenza Viruses, using Machine Learning. I received my bachelor's degree in Technical Biology at the University of Hamburg and continued with the master's programm in Bioinformatics at the University of Hamburg

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Starting from May 2022 I will work as a HiWi at CoSy.Bio. Right now I am in the bioinformatics master programm of UHH. Before that, I graduated from the University of Bayreuth with a bachelor's degree in biology with specialization in molecular biology and gene technology.

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.

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.

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I joined CoSy.Bio as a research assistant in January 2022, supporting the SyMBoD project, while completing my Master's in Bioinformatics at the TUM and LMU in Munich. My work focused on bone proteomics data analysis and a systematic review and meta-analysis of proteomics bone biomarkers for improved scaffold design. In November 2022, I began my Master's thesis, evaluating normalization approaches for protein quantification data and developing the PRONE R package and Shiny app.  

Currently, I’m a PhD Student in the DyHealthNet project in the DaiSyBio group of Prof. Dr. Markus List at TUM. Here, I am working in the development of a platform for dynamically exploring cohort-based data studies through multi-level network medicine. Simultaneously, I am still finalizing my work with CoSy.Bio.