The Tsoy Group

To visit Dr. Olga Tsoy's group "Computational Genomics and Transcriptomics" at UHH follow the link below:

(https://cgat-group.de/​)

The Tsoy Group at the University of Hamburg

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Dr. Olga Tsoy

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

I’m a group leader of Computational Genomics and Transcriptomics group. My main reserach is 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, and in Okinawa Institute iof Science and Technology 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.

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Amit Fenn

amit.fenn[a.t_))uni-hamburg.de

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.

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Chit Tong Lio

chit.tong.lio[a.t_))uni-hamburg.de

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.

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Zakaria Louadi

zakaria.louadi[a.t_))zbh.uni-hamburg.de

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.