Mario Latendresse, Ph.D., designs and implements computational tools in bioinformatics and chemoinformatics.
Latendresse has created several software tools such as computing atom mappings for biochemical reactions, finding optimized metabolic routes to engineer metabolic pathways, helping develop models for organisms based on flux balance analysis, finding optimized chemical routes to synthesize molecules, and applying machine learning in chemoinformatics.
Prior joining SRI, Latendresse was a researcher for the Science and Technology Advancement Team at Fleet Numerical Meteorology and Oceanography Center and taught computer science at two Universities in Montréal.
Latendresse has published in several domains, including mathematics, functional languages, bioinformatics, chemoinformatics, and computer security. He holds a doctorate in computer science from the Université de Montréal, Québec, Canada.