I founded and lead the Machine Programming Research group at Intel Labs. Machine programming is a new field of research, which is roughly a fusion of machine learning, programming languages, compilers, software and hardware systems, and formal methods. We provide a brief overview of MP in our “Three Pillars of Machine Programming” vision paper. I’m also the principal investigator and co-founder of the joint Intel/NSF CAPA research center. In academia, I have appointments as the industrial advisory board chair and executive director for the PRECISE Center at the University of Pennsylvania (Penn). I am also an adjunct assistant professor at Penn and Co-Program Director for the Embedded Systems (EMBS) Graduate Program in the Computer and Information Science Department.

I try to build and maintain deep academic and industrial ties. Recently I’ve been working with Brown, Microsoft Research, MIT, Stanford, Texas A&M, UC-Berkeley, UCLA, and Penn. In 2016, I co-founded the machine learning and programming languages (MAPL) workshop with members from Berkeley, Intel Labs, Google, and Stanford. I was its program and general chair in 2017 and 2018, respectively. In 2019, I accepted the invitation as the chair of the MAPL steering committee. In 2020, I have accepted a position as a technical advisor (one of four) for the new five-year NSF Expeditions center “Understanding the World Through Code” led by MIT.

I have around 70 peer reviewed publications and issued patents with ~100 patents pending. I’ve also given several dozen research talks at Berkeley, BMW, IBM Research, Penn, Stanford, UCLA, University of Washington, VMWare, and Wharton.