The Zolotareva Group at CoSy.Bio
Dr. Olga Zolotareva
I specialize in the analysis of biomedical multi-omics data, discovery of biomarkers, gene prioritization, and drug response prediction. Since May 2021, I am heading research group Computational and Systems Medicine at the UHH. We develop algorithms and create computational tools for exploration of disease heterogeneity and patient stratification, reconstruction of regulatory networks, and prioritization of drugs and drug targets. Since the privacy of patient-derived data is a major roadblock on the way of personalized medicine, we work on privacy-aware methods for distributed patients’ data analysis.
In May 2021, I started as a PhD student at CoSy.Bio (UHH). My current tasks include work surrounding the REPO-TRIAL drug repurposing project. I contribute in the development of network-based drug repurposing solutions but also in the research for applications of LLMs in systems medicine for knowledge generation and extraction. 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.
Dr. Fernando M. Delgado Chaves
In October 2021, I embarked on a postdoctoral researcher journey with the CoSy.Bio team at the University of Hamburg. I am a Biotechnologist by training but I soon pivoted to Bioinformatics and Computational Biologists.
My research focuses on network and precision medicine, biomarker discovery, and large language models (like ChatGPT) for biomedical tasks. I am also interested in bridging the communication gap between clinicians and informaticians, advocating for collaborative, synergistic efforts. Beyond research, I also value science communication in the digital age, mentoring, and education.
I am a PhD student at the Institute for Computational Systems Biology at the University of Hamburg. 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 by 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 worked in different tech startups doing software development and engineering.My research interests revolve around network-based drug repurposing as well as different approaches to in silico biomarker identification, developing tools like Drugst.One (https://drugst.one/), UnPaSt (https://apps.cosy.bio/unpast/) and the Epistasis Disease Atlas (https://epistasis-disease-atlas.com/home).
Silke Van Elferen
I'm a master's student at the University of Maastricht, studying Drug Development and Neurohealth. In January 2023 I will be returning to Cosy.Bio to work on my master's thesis under the supervision of Dr. Olga Tsoy and Lena Hackl. I will be looking at tissue-specific andbloodbased biomarkers in cardiomyopathies. In 2021/2022, I first joined CoSy.Bio to work on the thesis for my MSc degree in Systems Biology (Maastricht University), under the supervision of Dr. Olga Zolotareva, working towards a federated implementation of a DNA methylation microarray data analysis workflow. Before this, I obtained a BSc (Hons) degree in Forensic Science at Anglia Ruskin University.
Since March 2023, I've been a visiting researcher at CoSy.Bio lab and a PhD student at the chair of Proteomics and Bioanalytics, TUM. I'm a part of the CLINSPECT-M project and am interested in personalized medicine and biomarker discovery. I have an interdisciplinary background in pharmaceutical chemistry and computational and molecular biology. I hold a specialist degree (equivalent to an MSc) in Pharmacy and an MSc in Chemistry. I worked on terminal transferase modifications for de novo DNA synthesis at the Institute of Bioorganic Chemistry (Minsk, Belarus) and studied interaction preference in gene regulatory networks during the Bioinformatics for Biologists CPD program.