Adam Block

• Program

  Science of Trustworthy AI

• Institution

  Columbia University

• Location

  USA

Adam Block is an Assistant Professor of Computer Science and Electrical Engineering (affiliated faculty) and a core member of the Data Science Institute. His research spans the theoretical foundations of machine learning, with a focus on designing algorithms that are both provably efficient and practically effective in sequential decision-making and reinforcement learning settings, with a special focus on Language Modeling Applications. He completed his Ph.D. in Applied Mathematics and Statistics at the Massachusetts Institute of Technology, advised by Alexander Rakhlin, where he was affiliated with the Laboratory for Information and Decisions Systems and the Statistics and Data Science Center. Prior to joining Columbia, he was a postdoctoral scientist at Microsoft Research New York City.