Invited Speakers
Jason Weston
FAIR

Kate Saenko
Dept of Computer Science, Boston University
Alexander Rush
Dept of Computer Science, Harvard University
João Sedoc
Dept of Computer and Information Science, University of Pennsylvania
Jason Weston
Research Scientist
Jason Weston is a research scientist at Facebook, NY and a Visiting Research Professor at NYU. He earned his PhD in machine learning at Royal Holloway, University of London and at AT&T Research in Red Bank, NJ (advisors: Alex Gammerman, Volodya Vovk and Vladimir Vapnik) in 2000. From 2000 to 2001, he was a researcher at Biowulf technologies. From 2002 to 2003 he was a research scientist at the Max Planck Institute for Biological Cybernetics, Tuebingen, Germany. From 2003 to 2009 he was a research staff member at NEC Labs America, Princeton. From 2009 to 2014 he was a research scientist at Google, NY.

His interests lie in statistical machine learning, with a focus on reasoning, memory, perception, interaction and communication.

Jason has published over 100 papers, including best paper awards at ICML and ECML, and a Test of Time Award for his work "A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning", ICML 2008 (with Ronan Collobert). He was part of the YouTube team that won a National Academy of Television Arts & Sciences Emmy Award for Technology and Engineering for Personalized Recommendation Engines for Video Discovery.

He was listed as the 16th most influential machine learning scholar at AMiner and one of the top 50 authors in Computer Science in Science.


Kate Saenko
Associate Professor
Kate Saenko is an associate professor at the Department of Computer Science at Boston University, and the director of the Computer Vision and Learning Group and member of the IVC Group. She received her PhD from MIT.

Previously, she was an Assistant Professor at the Department of Computer Science at UMass Lowell, a Postdoctoral Researcher at the International Computer Science Institute, a Visiting Scholar at UC Berkeley EECS and a Visiting Postdoctoral Fellow in the School of Engineering and Applied Science at Harvard University.

Her research interests are in the broad area of Artificial Intelligence with a focus on Adaptive Machine Learning, Learning for Vision and Language Understanding, and Deep Learning.


Alexander Rush
Assistant Professor
Alexander "Sasha" Rush is an assistant professor at Harvard University.
Sasha received his PhD from MIT supervised by Michael Collins and was a postdoc at Facebook NY under Yann LeCun. His work has received four research awards at major NLP conferences.

His research interest is in ML methods for NLP with recent focus on deep learning for text generation including applications in machine translation, data and document summarization, and diagram-to-text generation, as well as the development of the OpenNMT translation system. His past work focused on structured prediction and combinatorial optimization for NLP.


João Sedoc
João Sedoc is a final year PhD student at the University of Pennsylvania, advised by Lyle Ungar. His PhD research focuses on Natural Language Generation, particularly deep learning methods for non-task driven conversational agents (chatbots) and the evaluation of these models. His research also includes work on word and sentence embeddings, word and verb predicate clustering, and multi-scale models.

He is generally interested in Natural Language Processing, Time Series Analysis, and Deep Learning.


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