Pavel Shelyakin

Research Scientist

Dr. Pavel Shelyakin epitomizes the interdisciplinary fusion of bioinformatics and biological sciences, with a notable emphasis on immunology, cancer biology, aging studies, and microbial ecology. His skill set is remarkably diverse, encompassing programming languages like Python and R, proficiency with high-performance computing clusters, and the adept analysis of intricate biological datasets. Pavel’s domain expertise is broad, covering immune repertoire sequencing, RNA sequencing (both bulk and single-cell), alternative splicing, as well as bacterial and fungal metagenomics. His pioneering work in developing analytical pipelines for immune receptor repertoires and identifying disease biomarkers for ailments such as COVID-19, tuberculosis, and various cancers has been groundbreaking. Furthermore, his research incorporates machine learning techniques for classifying immune repertoires, showcasing his innovative approach to bioinformatics.

Currently, Dr. Shelyakin is making strides as a Junior Research Scientist at the Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry in Moscow, delving into immune repertoire analysis, cancer biomarkers, and leveraging machine learning for biomedical applications. In parallel, he holds a position at the Vavilov Institute of General Genetics (VIGG), focusing on microbial ecology and the analysis of intergenic regions in bacterial genomes. His previous experiences include roles at the Institute for Information Transmission Problems (Kharkevich Institute) and the N.M. Emanuel Institute of Biochemical Physics, further testament to his versatile career.

Dr. Shelyakin’s academic credentials are equally impressive, with a Master’s degree equivalent in Bioinformatics from the Yandex School of Data Analysis and Biophysics from Lomonosov Moscow State University. His scholarly contributions are extensive, with publications that span from the effects of kerosene pollution on soil microbiomes to the identification of immune biomarkers in X-linked agammaglobulinemia and the exploration of T-cell receptors. Dr. Shelyakin’s ability to bridge computational methods with biological insights not only underscores his significance within his fields of expertise but also highlights his contribution to advancing our understanding of complex biological systems.