Summary
Sam Griesemer is a PhD candidate in computer science at USC focused on probabilistic machine learning, bringing a decade of technical experience and strong academic performance (BS 3.96, PhD coursework 3.90). Based in Los Angeles, he blends rigorous mathematical training with practical CS skills to tackle uncertainty-aware models and inference methods. As an early-stage researcher, he combines depth in theory with hands-on experimentation, positioning him to translate probabilistic insights into reproducible code and research contributions. Notably, his profile suggests a track record of sustained commitment to CS from undergraduate through doctoral study, signaling both persistence and rapid intellectual growth.
9 years of coding experience
Doctor of Philosophy - PhD, Computer Science, 3.90, Doctor of Philosophy - PhD, Computer Science, 3.90 at University of Southern California
Bachelor of Science - BS, Mathematics and Computer Science, 3.96, Bachelor of Science - BS, Mathematics and Computer Science, 3.96 at Washington University in St. Louis