Sam Bowman

Assistant Professor
New York University
Participates in 1 Session
Sam Bowman is a second year assistant professor at New York University, appointed in the Center for Data Science and the Department of Linguistics. He is the co-director of the Machine Learning for Language group and the CILVR applied machine learning lab. He completed a PhD in Linguistics in 2016 at Stanford University with Chris Manning and Chris Potts, and undergraduate and master's degrees in Linguistics at the University of Chicago. Sam has also spent time at Google Brain, TTI-Chicago, and Johns Hopkins University, and received a 2017 Google Faculty Research Award.

Sam's research focuses on the goal of building artificial neural network models for problems in natural language understanding, and includes work on model design, data collection, evaluation, unsupervised learning, and transfer learning.

Sessions in which Sam Bowman participates

Friday October 13, 2017

2:30 PM
2:30 PM