Detecting Bugs and Explaining Predictions of Machine Learning Models
Dr. Sameer Singh is an Assistant Professor of Computer Science at the University of California, Irvine (UCI). He is working on robustness and interpretability of machine learning algorithms, along with models that reason with text and structure for natural language processing. Sameer was a postdoctoral researcher at the University of Washington and received his PhD from the University of Massachusetts, Amherst, during which he also worked at Microsoft Research, Google Research, and Yahoo! Labs. He was selected as a DARPA Riser, was awarded the Adobe Research Data Science Award, the grand prize in the Yelp dataset challenge, the Yahoo! Key Scientific Challenges award and the UMass Graduate School fellowship. His group has received funding from Allen Institute for AI, NSF, DARPA, Adobe Research, and FICO.