AI2 is committed to drawing on the the knowledge of the best AI researchers. To this end, we host visiting scholars who collaborate with our team to further our work and their own research.
Julia Hockenmaier is associate professor of computer science at the University of Illinois at Urbana Champaign. She is spending part of her sabbatical at AI2 as a visiting scholar. Most of her research is in natural language understanding, ranging from syntactic parsing with expressive grammars to semantic representations and image description.
Jacopo Urbani is an assistant professor in Computer Science at the Vrije Universiteit of Amsterdam. He received a PhD in Computer Science from the same university in 2013, and spent his postdoc time between Amsterdam, Stanford University and the Max Planck Institute for Informatics. He is interested in the management and inference on very large knowledge graphs. Outside academia, he likes to travel with his family.
Majid Hadian completed his Ph.D. in Mathematics, under the supervision of the Fields medalist Prof. Gerd Faltings, at Max-Planck Institute for Mathematics, Bonn, Germany in 2010. His current research interests include the interplay between Computer Vision and Machine Learning. He is the Scott-Russell-Johnson Research Assistant Professor at Caltech.
Chris Clark is now a PhD student at the University of Washington. Chris grew up in Washington and received a B.S. in computer science and a B.A. in philosophy from the University of Washington. Chris received a MS in artificial intelligence from the University of Edinburgh, where he studied machine learning and completed a thesis on using deep neural networks to play Go. He has interned at Facebook and Wibidata, focusing on fraud detection and disturbed systems, respectively. His research focuses on machine learning, in particular to applications of machine learning towards AI-related tasks.
Vicente Ordonez Roman is now an Assistant Professor at the University of Viriginia. His work is at the intersection of Computer Vision and Natural Language Processing, especially when it comes to learning patterns from large collections of images and text. Vicente graduated with a PhD in Computer Science at the University of North Carolina at Chapel Hill advised by Prof. Tamara Berg, and an MS in Computer Science at Stony Brook University (SUNY).