Daniel Klein

Biography

Daniel Klein, PhD, serves as a Research Mentor at ICSI. He is a Professor of Computer Science in the Department of Electrical Engineering & Computer Sciences at UC Berkeley and Co-Founder and CTO at Scaled Cognition. 

Dr. Klein’s research focuses on statistical natural language processing, including unsupervised learning methods, syntactic parsing, information extraction, and machine translation. Recent honors and awards include the ACM’s Grace Murray Hopper Award, the Sloan Research Fellowship, the NSF CAREER Award, and the Microsoft New Faculty Fellowship. He was awarded the Computer Science Division’s Jim and Donna Gray Award for Excellence in Undergraduate Teaching in 2009, and UC Berkeley’s Distinguished Teaching Award in 2010, and the Diane S. McEntyre Award for Excellence in Teaching in 2011. He has won best paper awards with co-authors at NAACL 2010 for “Coreference Resolution in a Modular, Entity-Centered Model,” at ACL 2009 for “K-Best A* Parsing,” at NAACL 2006 for “Prototype-Driven Sequence Learning,” EMNLP 2004 for “Max-Margin Parsing,” and at ACL 2003 for “Accurate Unlexicalized Parsing.”

Dr. Klein received his BA in Math, CS, Linguistics (summa cum laude) from Cornell University; an MSt in Linguistics from Oxford University; and an MS and PhD in Computer Science from Stanford University.

Selected Honors & Awards

• Bakar Fellows Spark Award, 2022
• Diane S. McEntyre Award for Excellence in Teaching Computer Science, 2011
• UC Berkeley Distinguished Teaching Award, 2010
• Okawa Research Grant, 2009
• Jim and Donna Gray Award for Excellence in Undergraduate Teaching of Computer Science, 2009
• Sloan Research Fellow, 2007
• Hellman Fellow, 2006
• Grace Murray Hopper Award, 2006
• Microsoft New Faculty Fellow, 2004

ICSI Activity