Summary
Peter Vaillancourt is a research scientist with 11 years of experience specializing in scientific modeling, high-performance cloud computing, and physical modeling of complex systems, currently working on reanalysis and reforecasting at CIRES/NOAA-PSL via the University of Colorado Boulder. He brings a strong applied mathematics and statistics foundation to scalable simulation and machine learning workflows, with recent focus on neural nets for weather forecasting, data assimilation, and training scalability. Comfortable bridging academia and operational science, he excels on interdisciplinary problems that demand deep technical learning, creativity, and collaborative impact—especially on climate resilience and equitable outcomes. His uncommon combination of lived diversity and rigorous technical taste fuels unconventional solutions and a knack for tackling problems others dismiss as intractable. Outside of research he’s a LaTeX-obsessed Linux advocate who rock climbs, drums, and mentors students to broaden engagement in climate science.
10 years of coding experience
Part-Time Study, Part-Time Study at Penn State World Campus
Monroe Community College
Part-Time Study, Part-Time Study at Cornell University
Bachelor's Degree, Bachelor's Degree at Clarkson University