January 2018
Invited talk at USC CS Department.
Paper on Clustering with Aggregate Measures (with Johnnie Chang and Hung-Ju Chen) accepted at SysML conference
December 2017
Attending NIPS17 and organizing the AKBC workshop on Friday.
Paper on Aligning Product Categories (with Varun Embar) accepted at WSDM KBCOM workshop.
Invited talk at University of Alberta.
November 2017
Tutorial on Mining Knowledge Graphs accepted at WSDM18.
Guest teaching CSCI563: Building Knowledge Graphs at USC.
Pigi Kouki presented our paper on Collective Entity Resolution at ICDM.
October 2017
Attending OKN organizational workshop at NIH.
September 2017
Attending EMNLP, see my poster on Sunday afternoon.
Organizing the AKBC 2017 workshop at NIPS this year!
I'm joining the Information Sciences Institute at USC as a computer scientist and the Keston Researcher in Residence.
August 2017
Attending ICML, UAI, and organizing StaRAI in Sydney!
Paper on Collective Entity Resolution in Familial Networks (with Pigi Kouki) accepted at ICDM17
July 2017
Paper on Where Knowledge Graph Embeddings Fail (with Eriq Augustine) accepted at EMNLP17


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


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


University of Southern California, Marina del Rey, CA, 2017-
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, 2005-2007
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