Summary
Maksim Kriukov is a computational scientist lead with nine years of experience applying AI, machine learning and multi-scale computational models to clinical and omics data across industry and academia. Based in Barcelona, he currently leads ML projects at Sanofi focused on drug efficacy and safety by integrating randomized trial and real-world EHR datasets into clinical development. Trained at EPFL and MIPT, his background spans single-cell and NGS analysis, gene regulatory network inference, and personalized disease modeling, including work that integrated scRNA-seq into PhysiBoSS for mechanistic insight. He has worked in Russia, France, Switzerland and Spain, bringing both research rigor and production-focused engineering to industrialize predictive models for safety and efficacy. Known for blending explainable AI with translational priorities, he also balances his technical career with life as a pet guardian—an oft-overlooked source of resilience and perspective.
9 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Applied Mathematics and Physics, 4.67/5, Bachelor's degree, Applied Mathematics and Physics, 4.67/5 at Moscow Institute of Physics and Technology (State University) (MIPT)
Master's degree, Life Sciences and Engineering, 5.55/6, Master's degree, Life Sciences and Engineering, 5.55/6 at EPFL (École polytechnique fédérale de Lausanne)
Russian, English, Spanish