Jay Pujara

News

July 2018

Attending the Federated AI Meetings and IJCAI in Stockholm

June 2018

Presenting at the SIGMOD workshop on Data Science for Finance
Appointed Research Assistant Professor of CS at the USC Viterbi School
Paper on Collective Entity Resolution accepted in the KAIS journal

May 2018

Organizing the Information Systems Division retreat at ISI.

April 2018

Invited talk at the University of Pittsburgh
Attending the SoCal NLP Symposium at UCI

March 2018

Workshop on Statistical Relational AI accepted at IJCAI/ICML in Stockholm
Attending the DARPA Causal Exploration PI Meeting

February 2018

Presenting tutorial on Mining Knowledge Graphs from Text at WSDM18
Invited talk at University of California, LA
Invited talk at University of California, Irvine
Paper on Clustering with Aggregate Measures (with Johnnie Chang and Hung-Ju Chen) appeared at SysML conference
Paper on Aligning Product Categories (with Varun Embar) appeared at WSDM KBCOM workshop.

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 Southern California, Marina del Rey, CA, 2017-
Research Assistant Professor, Computer Science
Computer Scientist & Keston Researcher in Residence, Information Sciences Institute

University of California, Santa Cruz, CA, 2017-
Research Consultant, Data, Discovery, Decisions Data Science Center

University of California, Santa Cruz, CA, 2016-2017
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, 2005-2006
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