Kamyar Azizzadenesheli

Contact

Email: find on my papers

Office: 2788 San Tomas Expressway, Santa Clara, California

Kamyar's research interest is mainly in the area of Machine Learning, from theory to practice. He works on topics including but not limited to ML on function spaces, Reinforcement Learning, Applied Mathematics, Deep Learning, Neural Operators, Control Theory, Spectral Method, Optimization, High Dimensional Statistics, Risk Assessment, Online learning, Domain Shift, Active Learning, Safety, Adversarial Attacks, and Generative models through both learning theory and core scientific lenses.

Full CV

A few guidlines for scientific research[page]

Kamyar is a Research Staff at Nvidia since the Summer of 2022. Prior to his role at Nvidia, he was an assistant professor at Purdue University, department of computer science, from Fall 2020 to Fall 2022. Prior to his faculty position, he was at the California Institute of Technology (Caltech) as a Postdoctoral Scholar in the Department of Computing + Mathematical Sciences.

Before his postdoctoral position, he was appointed as a special student researcher at Caltech. He is also a former visiting student researcher at Caltech. Kamyar Azizzadenesheli is a former visiting student researcher at Stanford University, and a researcher at Simons Institute, UC. Berkeley. In addition, he is a former guest researcher at INRIA France (SequeL team), as well as a visitor at Microsoft Research Lab, New England, and New York. He received his Ph.D. at the University of California, Irvine.