Summary
Dmitry Kolobkov is a statistical geneticist with 11 years of experience applying machine learning and data science to precision medicine, spanning end-to-end pipelines from heterogeneous data ingestion to interactive visualisation and web deployment. He has led federated-learning efforts to predict ancestry and phenotypes from decentralized genomic datasets, demonstrating practical privacy-preserving models on UK Biobank and 1000 Genomes data. His background blends rigorous mathematical training (MSU, MIPT PhD-level work) with hands-on programming in Python and R, and a track record of academic and industry collaborations that produced multiple publications. Comfortable moving between research and product, he has built nationally accessible web apps and ETL pipelines for large-scale health studies, and seeks roles where technical depth meets measurable impact on human health.
11 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology, Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology at Moscow Institute of Physics and Technology (State University) (MIPT)
Lomonosov Moscow State University
Russian, English, Hebrew