Summary
Pooyan Jamshidi is an assistant professor of computer science at the University of South Carolina with 11 years of experience bridging theoretical machine learning and practical autonomous systems research. He earned a PhD in ML and has held postdoctoral positions at CMU and Imperial College and a visiting researcher stint at Google, where he worked on representation learning, causal AI, and neural network pruning. His work focuses on ML for systems and systems for ML—especially transfer and representation learning to enable robust, reusable policies for robots, rovers, and spacecraft landers. He directs the SoftSys4AI group and blends rigorous statistical learning theory with careful empirical evaluation to drive runtime adaptation, configuration optimization, and reliability in learning-enabled systems. Unusually for an academic, he has hands-on industry experience developing and testing frameworks like ATHENA during his time at Google, reflecting a strong applied bent alongside his theoretical contributions.
11 years of coding experience
13 years of employment as a software developer
Amirkabir University of Technology
PhD Computer Science (Machine Learning), PhD Computer Science (Machine Learning) at Dublin City University
English, Persian