Pooyan Jamshidi is an Assistant Professor in the Computer Science and Engineering Department at the University of South Carolina and a Visiting Researcher at Google. He directs the AISys Lab, where he—with his students, postdocs, and collaborators—designs theoretically principled AI algorithms and applies the algorithms to solve problems in computer systems, software engineering, robotics, self-adaptive and autonomous systems, on-device machine learning, cloud-based and serverless systems, big data analytics pipelines, and healthcare. He is, in particular, interested in causality, transfer learning, optimization, causal/deep representation learning, machine learning security, reinforcement learning, as well as several areas in computer systems research, including performance, configuration, computer architecture. Prior to his current position, he was a research associate at Carnegie Mellon University and Imperial College London. He received a Ph.D. in Computer Science at Dublin City University in 2014 and M.S. and B.S. degrees in Systems Engineering, Mathematics, and Computer Science from Amirkabir University in 2003 and 2006n respectively.