Person
Paris, France
Before joining FAIR as a Research Scientist, Sainbayar completed his Ph.D. at NYU. Prior to that, he received his BEng and M.S. at the University of Tokyo. His main research interest is deep learning algorithms with reasoning and memory…
After receiving a Ph.D. in probability and group theory, Yann joined the CNRS, the French national research institute. He initially worked on unveiling connections between probability, Markov chains, differential geometry, and discrete…
London, United Kingdom
Sebastian is a Research Scientist and Manager at Facebook AI Research, and a faculty member at University College London. Prior to that, he was a postdoc at UMass and the University of Tokyo and studied for his Ph.D. at the University of…
New York City, United States
Stephen is a Research Engineer at Facebook AI Research. His research interests include natural language processing, deep learning, language generation, conversational agents, and textual inference. Prior to FAIR, Stephen studied for his Ph.D.…
Ser-Nam manages Facebook AI's Computer Vision teams in the New York and Cambridge offices. He is currently an effort to detect media manipulation that has the potential to spread misinformation. Ser-Nam's research interests lie in the…
Seattle, United States
Yinhan works with Facebook AI Research (FAIR) on NLP tasks that include pretraining and neural machine translation. She earned her M.S. in operations research from the University of Texas at…
Marjan is a Research Scientist at Facebook AI Research. Marjan received her Ph.D. at the University of Southern California on neural creative language generation. She is interested in text representation, language generation, and machine…
Menlo Park, United States
Tatiana is a postdoc researcher with Facebook's speech team, working on semi-supervised and unsupervised approaches for speech recognition systems. She holds a PhD in computer science from Lomonosov Moscow State University. Prior to joining…
Yan is a research scientist at Facebook AI Research (FAIR), working on deep learning models and applications on personalization. He earned his Ph.D. in computer science at Rutgers University, and interned at FAIR, focusing on amodal…
Brandon is a research scientist at Facebook AI Research (FAIR), working on machine learning, reinforcement learning, optimization, and control. His current focus is specialized modeling components to help add domain-specific priors. He earned…
Tal is an Applied Research Lead at Facebook AI. Prior to that, he was a principal scientist at Amazon AWS. He is also affiliated with The Open University of Israel, Department of Mathematics and Computer Science. Tal's work is mainly related to…
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