Wei Li is Vice President and General Manager of Machine Learning Performance at Intel Corporation, where he is driving world-class machine learning (ML) software optimization with leadership hardware and relentless enablement across various ML frameworks and customer software stacks.
In his 20+ years at Intel, he has led innovative software efforts for artificial intelligence, clouds/data centers, mobile devices, and hardware/software co-design. Most recently, he led the team that won the Stanford DAWNBench AI competition for inference. He served as an associate editor for ACM Transactions on Programming Languages and Systems, and was on the joint Intel/Microsoft technical committee that funded the creation of parallel computing research centers at the University of California-Berkeley and the University of Illinois at Urbana-Champaign.
He received a Ph.D. in Computer Science from Cornell University, and completed an executive program at Stanford Graduate School of Business.