Summary
Mikhail Magnitov is a computational biologist and postdoctoral researcher with 9 years of experience applying advanced data analysis to questions of chromatin organization, epigenomic inheritance, and 3D genome architecture. Based at the Hubrecht Institute in a joint project with the Danish Cancer Institute, he combines single-cell and single-molecule sequencing approaches to study how epigenomic information is propagated during DNA replication. During his PhD at the Netherlands Cancer Institute he led cross-disciplinary projects, developed scalable multi-omics pipelines (ATAC-seq, Hi-C/Micro-C, long reads, allele-specific analyses) and overturned a long-standing model of ZNF143’s role in chromatin looping. He has a track record of publishing first-author papers, building computational frameworks that integrate deep learning for functional variant discovery, and translating computational predictions into wet-lab validation. Trained in applied mathematics and physics at MIPT and experienced across leading European institutes, he brings a strong blend of quantitative rigor, software-enabled reproducibility, and hands-on experimental insight. An under-the-radar strength is his history of building visualization and benchmarking tools that have supported broader community standards in 3D genome analysis.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Amsterdam
Master's degree, Applied Mathematics and Physics, Master's degree, Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
English, Russian, Dutch