Bor-Yuh Evan Chang

Bor-Yuh Evan Chang is an Associate Professor in the Department of Computer Science at the University of Colorado Boulder. He joined the faculty in 2009 after completing his Ph.D. at the University of California Berkeley (2008) and B.S. at Carnegie Mellon University (2002).

• Education:
  • Ph.D., Computer Science, University of California Berkeley (2008)
  • B.S., Computer Science, Carnegie Mellon University (2002)

Research Interests: Dr. Chang focuses on tools and techniques for building, understanding, and ensuring reliable computational systems. His work emphasizes interactive abstract interpretation, program analysis, and novel methods to enhance developer-tool collaboration. This includes demand-driven analysis, semantic revision, and frameworks for responsive static analysis.

Article Trends: His recent publications (2025–2021) cover distributed systems, recursion analysis, callback verification, and resource bounding. Key themes include static analysis, automated reasoning, and abstract interpretation, with applications in software reliability and performance optimization.

Scientific Awards:

• NSF CAREER award (2010)

Teaching and Leadership: He co-leads graduate education as Co-Associate Chair and teaches courses like CSCA 5422: Modern AI Models for Vision and Multimodal Understanding. His work bridges theoretical research with practical software applications, including collaborations with industry and interdisciplinary projects.