Summary
Charlie Cowen-breen is a PhD candidate at MIT focused on reliable AI for science, specializing in uncertainty quantification at the intersection of machine learning, statistics, and computer science. With eight years of experience spanning research, teaching, and engineering, Charlie has built practical tools—from image-surface smoothness detectors for robotics to vision systems on NVIDIA Jetson devices—and interned at Facebook AI. A strong theoretical foundation (Princeton BA, Cambridge master's) complements hands-on algorithm development, including published orbit-determination work as an undergraduate. Charlie also brings classroom mentorship experience running accelerated honors analysis problem sessions, reflecting an ability to translate deep math into accessible solutions.
8 years of coding experience
1 year of employment as a software developer
High School Diploma Summa Cum Laude Concentrating in Theoretical and Mathematical Physics, High School Diploma Summa Cum Laude Concentrating in Theoretical and Mathematical Physics at Boston University Academy
Doctor of Philosophy - PhD Artificial Intelligence and Decision-making, Doctor of Philosophy - PhD Artificial Intelligence and Decision-making at Massachusetts Institute of Technology
Master's degree Applied Mathematics and Theoretical Physics, Master's degree Applied Mathematics and Theoretical Physics at Trinity College Cambridge
Bachelor of Arts - BA Mathematics certificate in Statistics and Machine Learning, Bachelor of Arts - BA Mathematics certificate in Statistics and Machine Learning at Princeton University