Summary
Mijaíl Martínez is a postdoctoral researcher and data scientist with eight years of experience blending academic rigor and public-sector analytics to make science and data more accessible. Trained in physics and mathematics at UNAM, he has investigated market dynamics through statistical correlations during his PhD and now applies machine learning to problems in statistical physics at the Higher School of Economics. He has led analytics modernization projects in government—designing cloud-based, open-source platforms, managing ETL transitions, and training users—bringing practical production experience to research settings. Comfortable shifting between theory and implementation, he combines deep quantitative modeling with a commitment to teaching and communicating complex ideas to broader audiences. An engaging collaborator, he seeks debates and partnerships that translate technical insight into socially relevant outcomes.
8 years of coding experience
Universidad Nacional Autónoma de México (UNAM)