Summary
Anil Damle is an associate professor and computational mathematician with a decade of experience developing robust, structure-exploiting algorithms in numerical linear algebra for interdisciplinary applications like quantum chemistry, spatial statistics, and integral equations. Trained at Stanford (PhD) and Colorado Boulder, he focuses on turning mathematically sophisticated methods into practical tools usable by practitioners. His research emphasizes efficiency and robustness, often leveraging model-specific structure to scale algorithms for real-world problems. Based in Palo Alto, he blends deep theoretical analysis from his academic career with a clear emphasis on implementable solutions, bridging the gap between theory and applied computation.
10 years of coding experience
8 years of employment as a software developer
Master of Science (MS), Applied Mathematics, Master of Science (MS), Applied Mathematics at University of Colorado Boulder
Doctor of Philosophy (PhD), Computational and Applied Mathematics, Doctor of Philosophy (PhD), Computational and Applied Mathematics at Stanford University