Jay Pujara
Postdoctoral Researcher
Précis
- Postdoc at UC Santa Cruz
- Focus: Scalable Machine Learning
- Key Application: Knowledge Graph Construction
- PhD, University of Maryland, College Park (2010-2016)
- Research Intern, Google (2014) & LinkedIn (2012)
- Senior Engineer at Yahoo! Mail Antispam (2006-2010)
- MS and BS, Carnegie Mellon University (2000-2005)
- 3 best paper awards and over 20 refereed publications
- E-mail: jay@cs.umd.edu
News
- 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