Summary
Anna Gribkova is a junior researcher and PhD candidate in Computational Biology at Lomonosov MSU with eight years of experience in bioinformatics, machine learning, and epigenetics. She built a practical classification of ~3000 human chromatin proteins and developed Python libraries used in NucleosomeDB and in-house gRNA design tools. Her work spans curation of histone databases, analysis of cancer-associated histone mutations, bulk RNA-seq from AML patients, and DNA methylation studies, alongside ML models predicting phase-separating and histone-mimicking viral proteins. Anna teaches "Python for Biologists" and "Chromatin and Epigenetics," mentors students, and has led bioinformatics efforts for gold-medal iGEM teams and a biotech startup project. She combines rigorous academic output with hands-on software development and community building, from organizing science outreach to leading sports and peer networks. Curious and multidisciplinary, she often bridges computational tool development with experimental insight to make epigenomics data more accessible and actionable.
8 years of coding experience
Lomonosov Moscow State University
Russian, English