Samuel Renaud

Background

About Samuel Renaud

Currently: Systems Engineering and AIT Engineering member of technical staff at MDA. Previously: Graduate student performing deep learning research with biophysics applications at Concordia University. o Implementing and analyzing generative models for drug design including: Transformers, GAN's, VAE's. o Interpretable deep learning models and targeted featuring generation for drug design. Published in RSC DOI : Previously Lead of the flight performance division in the Space Concordia Rocketry team. o Assigned tasks to Flight Performance members o Organized timelines and task around upcoming deadlines o Analysis of rocket flight profiles. o Solving for rocket aerodynamic coefficients and integrating solutions into simulations. o Rocket launch safety analysis with expected casualty probability and hazard area identification.