Michael Burke

Michael Burke is a Senior Research Scientist and Part-Time Lecturer at Rice University's Computer Science Department. He holds a PhD from New York University (1983) and a BA from Yale University (1973). His research focuses on program analysis, static analysis tools, mobile security, parallel computing, and compiler optimization. Previously, he worked at IBM Research for over 25 years, contributing to projects like the PTRAN parallelization system, XJ XML programming language, and Jalapeno Java virtual machine.

Dr. Burke has been recognized with numerous awards, including the ACM SIGPLAN Distinguished Service Award (2008), ACM Distinguished Scientist (2007), and IBM Research Division Technical Group Award (2005). He has authored over 60 technical papers and holds multiple patents related to compiler optimization and data analysis.

His teaching includes courses on automata theory, compiler construction, and algorithmic thinking. Burke has advised on projects such as the Habanero Multicore Software Research Project and collaborated with organizations like Intel and Lawrence Livermore National Lab on parallel computing frameworks.