Summary
Leonid Chindelevitch is a computational biologist and senior lecturer specialising in infectious diseases and antimicrobial resistance, with over a decade of experience applying mathematical modelling, genomics and machine learning to public health challenges. Based at Imperial College London and active as a technical consultant, he translates large-scale multi-omics analyses into actionable solutions for industry and global health agencies including WHO, HERA and FIND. His background spans academia and industry—from a PhD at MIT and faculty roles in computer science to award-winning applied mathematics work at Pfizer—giving him rare fluency across theory, software and translational science. He mentors startups and students, and co-founded a pharmacogenomics startup, demonstrating an appetite for entrepreneurship alongside rigorous research. Notably, he has led the construction of genomic variant catalogues used for TB diagnostics and routinely bridges computational innovations with real-world deployment.
10 years of coding experience
6 years of employment as a software developer
PhD, Computational Biology, PhD, Computational Biology at Massachusetts Institute of Technology
Bachelor of Sciences, Mathematics and Computer Science, Bachelor of Sciences, Mathematics and Computer Science at McGill University
Russian, English, Spanish, French