Vadim Alexandrov

Vadim Alexandrov is a problem-solver with an impressive record of success in building full-cycle AI-driven technologies for drug discovery. With over 40 patents and first-author publications in Nature, Vadim excels in developing automated reasoning and predictive learning platforms for optimal therapeutic interventions. His expertise lies in Companion Diagnostics for Precision Medicine, RWE, Translation and Back-translation, AI-driven drug design, Hit Generation and Lead Optimization, Upstream Regulators and Target ID, Causal Graphs, and Integrative OMICs, among others. Vadim has a PhD in Bioinformatics from Yale University, an MS in Quantum Chemistry/Applied Mathematics from Lomonosov Moscow State University, and a PhD in Quantum Chemistry from the University of Arizona.

Most recently, Vadim holds the position of Chief Technology Officer for Precision Immunology at Roivant Sciences, where he spearheads the development of new technologies to provide custom health solutions to improve patient outcomes. He previously served as Head of Data Science for Precision Immunology at Sanofi, Chief Scientific Officer at Plex Research, and Quantitative Research Consultant at Gresham Investment Management. Vadim has also held positions as Chief Informatics Officer at Psychogenics, Senior Informatics Consultant at sanofi-aventis, and Senior Informatics Architect/Developer at CuraGen Corporation.