Summary
Christian Shelton is a seasoned academic leader and professor of computer science with over a decade of faculty experience and current leadership as Chair of the Computer Science & Engineering Department at UC Riverside. His research bridges artificial intelligence, machine learning, dynamic systems, and computational statistics, with a strong record of publications and cross-disciplinary collaborations including a sabbatical in clinical anesthesiology. Trained at MIT (Ph.D., S.M.) and Stanford (B.S.), he combines deep theoretical expertise with practical applications, from graphical models during his Stanford postdoc to machine learning for silicon manufacturing at Intel. Known for translating complex probabilistic and dynamic-system ideas into applied solutions, he actively mentors students and shapes departmental strategy. Based in Riverside, CA, he maintains an active research portfolio and public web presence cataloging his work and contributions. An understated but telling detail: his career alternates intense research stints and industry-facing visits, signaling both academic rigor and real-world impact.
12 years of coding experience
12 years of employment as a software developer
Ph.D. Computer Science, Ph.D. Computer Science at Massachusetts Institute of Technology
B.S. Computer Science, B.S. Computer Science at Stanford University
French