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Anil Damle is an Associate Professor in the Department of Computer Science at Cornell University. His research interests primarily lie in numerical linear algebra, computational quantum chemistry, computational statistics, and fast algorithms. He has a substantial academic background, having overseen numerous dissertations in his fields of interest. Damle is known for his innovative teaching methods and up-to-date course material that includes courses like Numerical Analysis and Matrix Computations. He also ventures into machine learning through courses such as Introduction to Machine Learning, emphasizing practical applications of theoretical concepts. His contributions to computational mathematics are well recognized, and he often collaborates with students and peers to advance the field.
Cornell University • Ithaca, NY
Teaching and conducting research in the field of computer science, specializing in numerical linear algebra and computational methods.
Department of Architecture