Research Assistant Professor of Computer Science
- 2016, Doctoral Degree, Artificial Intelligence, University of Maryland College Park
- 2005, Master's Degree, Computer Science, Carnegie-Mellon University
- 2004, Bachelor's Degree, Computer Science, Carnegie-Mellon University
- 2004, Bachelor's Degree, Cognitive Science, Carnegie-Mellon University
- 2004, Bachelor's Degree, Electrical and Computer Engineering, Carnegie-Mellon University
Jay Pujara is a research assistant professor at the University of Southern California and a research lead at the Information Sciences Institute whose principal areas of research are machine learning, artificial intelligence, and data science. He completed a postdoc at UC Santa Cruz, earned his PhD at the University of Maryland, College Park and received his MS and BS at Carnegie Mellon University. Prior to his PhD, Jay spent six years at Yahoo! working on mail spam detection, user trust, and contextual mail experiences, and he has also worked at Google, LinkedIn and Oracle. Jay is the author of over thirty peer-reviewed publications and has received four best paper awards for his work. He is a recognized authority on knowledge graphs, and has organized the Automatic Knowledge Base Construction (AKBC) and Statistical Relational AI (StaRAI) workshops, has presented tutorials on knowledge graph construction at AAAI and WSDM, and has had his work featured in AI Magazine.