Long-term dedication to the development of automated intelligent programming systems, with notable achievements in cross-stack synergy and integration.
Research Experience
Leads the PICASSO Lab, focusing on research areas such as program verification and testing, high-level algorithmic optimization and autotuning, domain-specific programming language designs, kernel library implementations, advanced compilation constructions, and computer architecture designs.
Background
Research interests include building automated, intelligent programming systems that leverage, integrate, and advance math, physics, and computer science. Particular focus on Machine Learning (ML) and Quantum Computing (QC).
Miscellany
Believes that research is like art, requiring a set of skills to make one's work appealing; emphasizes originality over incremental work.