Mehryar Mohri

Mehryar Mohri is a Professor of Computer Science at New York University. He is affiliated with the Courant Institute of Mathematical Sciences. His research interests include machine learning, computational biology, text and speech processing, algorithms, and theory. Mohri holds a Ph.D. in Computer Science from University of Paris 7, France, earned in 1993. He is based at WWH 701, with contact details including email: mohri at cs.nyu.edu and phone: +1 212 998-3200. His work has contributed to various areas of machine learning and computational theory.

Mehryar Mohri is a professor at the Courant Institute of Mathematical Sciences and a head at Google Research, specializing in machine learning. His research focuses on theoretical foundations and practical applications of machine learning, including federated learning, domain adaptation, and optimization algorithms. He has contributed significantly to the development of frameworks for distributed learning and has explored the theoretical underpinnings of learning bounds and loss functions. His work also extends to natural language processing, particularly in the use of weighted finite-state transducers for speech recognition. Mohri's research emphasizes the intersection of machine learning theory and real-world applications, aiming to improve the efficiency and fairness of learning systems.