Jay Pujara

News

Fall 2019

Welcoming my first batch of PhD students to my research group, the JAUNTS lab
Attending ISWC 2019 in New Zealand
Organizing workshop on Statistical Relational AI at AAAI in NYC
Organizing workshop on Reasoning for Complex Query Answering at AAAI in NYC
Attending the kickoff for the NSF C-Accel program for our BOKN project
Attending the kickoff for the DARPA SCORE program
Attending the kickoff for the DARPA SAIL-ON project

Summer 2019

Paper on Table Understanding accepted to ISWC 2019
Paper on Pre-Trained Tabular Cell Embeddings (with Majid Ghasemi-Gol) accepted to ICDM 2019
Paper on D-REPR: A Language for Diversely-Structured Data (with Binh Vu) accepted to K-CAP 2019
Paper on T2WML: Mapping Tables To Wikidata (with Pedro Szekely) accepted to K-CAP 2019
Paper on A Data Catalog for Science (with Basel and Binh) accepted to AKTS 2019
I'm now a Research Lead at ISI
Our proposal on Building a Business Open Knowledge Network funded by NSF
Our proposal on Scoring Scientific Research funded by DARPA
Our proposal on Generating Novelty for ML selected for funding by DARPA

Spring 2019

Paper on Parsing, Representing and Transforming Units of Measure (with Basel Shbita) appeared at MOMACS
Paper on Explainable Recommendations (with Pigi Kouki) wins Outstanding Paper IUI
Our proposal on Machine Common Sense selected for funding by DARPA
Organizing workshop on Neural + Symbolic Representation & Reasoning at AKBC

Winter 2019

Paper on Semantic Modeling (with Binh Vu) accepted to WWW
Paper on Explainable Recommendations (with Pigi Kouki) accepted to IUI

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

Outstanding Paper Award, Intelligent User Interfaces, 2019

Top Reviewer, Neural Information Processing Systems, 2018

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
Research Lead & 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