Marc Normandin is a physics-focused researcher and educator with 11 years of experience bridging theoretical and computational approaches in higher education. Currently a Graduate Teaching Assistant at The University of Texas Rio Grande Valley, he has extensive experience running and lecturing first-year physics labs and tutoring calculus and physics students. His PhD work in Theoretical and Mathematical Physics (UTSA) and long-standing role in the LIGO Scientific Collaboration highlight expertise in statistical mechanics, parameter estimation, and combining electromagnetic and gravitational-wave data for multi-messenger inference. Skilled with computational physics tools, databases, and LaTeX, he brings rigorous quantitative methods to both research and teaching. Funded by the NSF during his graduate research, he applies Bayesian and population-level estimation techniques to improve model parameter recovery for GRB events—an interdisciplinary niche not obvious from typical teaching CVs. Based in Brownsville, Texas, Marc blends hands-on lab instruction with cutting-edge computational research in neuroscience and astrophysics contexts.
11 years of coding experience
University of Texas at San Antonio
Master of Science (M.Sc.), Theoretical and Mathematical Physics, Master of Science (M.Sc.), Theoretical and Mathematical Physics at Western University
Master of Science (M.Sc.), Theoretical and Mathematical Physics, Master of Science (M.Sc.), Theoretical and Mathematical Physics at University of Texas at Brownsville
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