Summary
Aaron Ouellette is a PhD-level physicist and researcher with 11 years of experience applying data analysis, computational methods, and machine learning to open-ended problems in cosmology and imaging. Currently a Graduate Research Assistant at UIUC and recipient of the ICASU/CAPS Graduate Research Fellowship, he has developed compressed-sensing and ML-based image reconstruction algorithms for the Dark Energy Survey and led undergraduate physics instruction and labs. Comfortable bridging theory, code, and teaching, he has a track record of mentoring students and translating complex physical problems into practical computational solutions. Based in Urbana, Illinois, he combines rigorous academic training (BS summa cum laude, MS, and ongoing PhD) with hands-on research at national labs, making him adept at both independent research and collaborative, interdisciplinary projects.
11 years of coding experience
Master of Science - MS, Physics, Master of Science - MS, Physics at Rensselaer Polytechnic Institute
University of Illinois Urbana-Champaign
Russian