Satish Chandra is a software engineer at Google, where he applies machine learning techniques to improve developer productivity and leads the work on internal developer infrastructure using these techniques.

Prior to Google, he has worked – in reverse chronological order – at Facebook, Samsung Research, IBM Research, and Bell Laboratories. His work has spanned many areas of programming languages and software engineering, including program analysis, type systems, software synthesis, bug finding and repair, software testing and test automation, and web technologies. His research has been widely published in leading conferences in his field, including POPL, PLDI, ICSE, FSE and OOPSLA. The projects he has led have had significant industrial impact: in addition to his work on ML-based developer productivity at Facebook, his work on bug finding tools shipped in IBM’s Java static analysis product, his work on test automation was adopted in IBM’s testing services offering, and his work at Samsung was included in Samsung’s Tizen IDE.

Satish Chandra obtained a PhD from the University of Wisconsin-Madison, and a B.Tech from the Indian Institute of Technology-Kanpur, both in computer science. He is an ACM Distinguished Scientist and an elected member of WG 2.4.