About

Didier Ishimwe is a Machine Learning Engineer at Experian, where he applies his expertise in generative AI to build internal LLM-based tools for the Experian AI Assistant, streamlining complex data analysis and engineering workflows. His career is dedicated to bridging the gap between formal software analysis and the evolving capabilities of modern AI systems.

Didier recently earned his PhD in Computer Science from George Mason University, conducting research in the ROARS lab under the advisement of Dr. Thanhvu Nguyen. His scholarly research has been published at premier SE venues including OOPSLA, ICSE and FSE, and he received the Best Paper Award at SSBSE for his innovative work on LLM-guided fuzzing. Committed to education and service, Didier has served as an adjunct professor at GMU teaching Formal Methods, and volunteers on the committee for Virginia Women in High-Performance Computing (VA-WHPC).