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Mikhail Khodak is an Assistant Professor in the Department of Computer Sciences at the University of Wisconsin-Madison. His research focuses on the foundations and applications of machine learning, particularly in developing foundation models that integrate AI tools, algorithm design, and scientific computing. He specializes in modern meta-learning, the theory behind learning-to-learn systems using multiple tasks, and has produced significant contributions in learning-augmented algorithms that enhance performance through learned predictions. Mikhail has also explored methods for automated machine learning and neural architecture search, applying his work to diverse tasks such as natural language processing and statistical modeling. Previously, he was a Fellow at Princeton's Language and Intelligence program and completed his PhD in Computer Science at Carnegie Mellon University.
University of Wisconsin-Madison • Madison, WI
Conducts research and teaches in the field of machine learning.
Department: Department of Computer Sciences