Jay Pujara

News

August 2017

Attending ICML, UAI, and organizing StaRAI in Sydney!

July 2017

Paper on Where Knowledge Graph Embeddings Fail (with Eriq Augustine) accepted at EMNLP17

June 2017

Paper on User Preferences for Hybrid Explanations (with Pigi Kouki) accepted at RecSys17

May 2017

Presenting paper on Knowledge Graphs from Financial Filings at DSMM 2017 at SIGMOD

April 2017

Paper on Disambiguating Energy Disaggregation (with Sabina Tomkins) accepted at IJCAI17
Organizing Workshop on Statistical Relational AI at UAI 2017
Paper (with Sungcul Kim & Nikhil Kini) on Cross-Device Entity Resolution at WWW 2017

March 2017

Invited Talk at Johns Hopkins University

February 2017

Presented KG Construction tutorial (with Sameer Singh & Bhavana Dalvi) at AAAI 2017
Invited Talks at University of Iowa, University of Southern California, & Rochester Institute of Technology
Attended organizational meeting for the Open Knowledge Network (TOKeN)

January 2017

Invited Talk at University of Maryland

Education

University of Maryland, College Park, 2010-2016
School of Computer Science
Ph.D. Computer Science
Thesis: Probabilistic Models for Scalable Knowledge Graph Construction

University of California, Santa Cruz, 2014-2015
Jack Baskin School of Engineering
Visiting Student

Carnegie Mellon University, 2014
Machine Learning Department
Visiting Research Scholar

Carnegie Mellon University, 2004-2005
School of Computer Science
M.S. Computer Science
Thesis: Understanding Feature Selection in Functional Magnetic Resonance Imaging

Carnegie Mellon University, 2000-2004
School of Computer Science
B.S. Computer Science
Minors in Logic and Computation, Mathematical Science, and Robotics
Thesis: Machine Learning Classification of fMRI data
University Honors and College Honors

Carnegie Mellon University, 2001-2004
Carnegie Institute of Technology
B.S. Electrical and Computer Engineering
University Honors

Carnegie Mellon University, 2001-2004
School of Humanities and Social Sciences
B.S. Cognitive Science
University Honors

Awards

Best Paper Award, Statistical Relational Learning Workshop, 2016

Outstanding Reviewer, International Joint Conference on AI, 2016

Best Student Paper Award, International Semantic Web Conference, 2013

Best Paper Award, Collaboration, Electronic Messaging, Anti-abuse, and Spam, 2011

Dean’s Fellowship Award, University of Maryland, College Park, 2010-2012

Yahoo! FREP Award, “Active Feature Acquisition”, Advisor: Martin Zinkevich, 2010-2012

Lemonade Stand Multi-agent Competition, 2nd place, 2009; 3rd place, 2010

Experience

University of California, Santa Cruz, CA, 2016-
Postdoctoral Researcher, Jack Baskin School of Engineering

University of California, Santa Cruz, CA, 2016
Lecturer, Technology and Information Management

University of Maryland, College Park, MD, 2010-2016
Graduate Research Assistant, Artificial Intelligence

Google Inc., Mountain View, CA, 2014
Research Intern, Knowledge Vault Team

LinkedIn Corp., Mountain View, CA, 2012
Data Science Intern, Skills Team

Yahoo! Inc., (remote), 2010-2012
Data Scientist, Yahoo! Mail Antispam

Yahoo! Inc., Sunnyvale, CA, 2006-2010
Senior Software Engineer, Yahoo! Mail Antispam

Oracle Corp., Redwood Shores, CA, 2005-2007
Software Engineer, Business Intelligence

Carnegie Mellon University, Pittsburgh, PA, 2004
Graduate Research Assistant, Machine Learning

University of Pittsburgh, Pittsburgh, PA, 2003
Research Programmer, Learning R&D Center

Internal Drive Corp., Stanford, CA, 2002
Camp Instructor, Game Programming & C++

Carnegie Mellon University, Pittsburgh, PA, 2001
Research Programmer, Robotics Institute