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The Laske Group
Junior Research Group leader Dr. Tanja Laske's group
The Laske Group at CoSy.Bio
Dr. Tanja Laske
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.
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.
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
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 CoSy.Bio
I am currently writing my master thesis about defective interfering particles supervised by Tanja Laske. I started at CoSy.Bio when I was working on my masters project in the winter semester of 2021/22 where my team and I developed a tool for consensus active module identification (CAMI) together with Andreas Maier as our supervisor. I study Bioinformatics in the masters course of the UHH. Before that I graduated with a bachelor‘s degree in Biotechnology from the TU Brunswick.
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.
I am enrolled in the M.Sc. Bioinformatics at ZBH/UHH. In August 2023, I joined CoSy.Bio as a student assistant and analyse time course data from multi-omics experiments on impaired bone healing. I previously obtained a master's degree in Nutritional Sciences at FSU Jena
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