Yejin Choi is an associate professor of Paul G. Allen School of Computer Science & Engineering at the University of Washington, adjunct of the Linguistics department, and affiliate of the Center for Statistics and Social Sciences. She is also a senior research manager at the Allen Institute for AI. She is a co-recepient of the Marr Prize (best paper award) at ICCV 2013, a recepient of Borg Early Career Award (BECA) in 2018, and named among IEEE AI's 10 to Watch in 2016. She received her Ph.D. in Computer Science at Cornell University (advisor: Prof. Claire Cardie) and BS in Computer Science and Engineering at Seoul National University in Korea.
I am a Research Scientist at AI2, where I joined after completing my PhD from Northwestern University with Doug Downey in 2016. Currently, I work with Yejin Choi on Natural Language Processing for commonsense reasoning on the Mosaic Team. Before joining the Mosaic team, I worked in the Semantic Scholar team implementing models for Citation Recommendation, NER and Entity Linking.
I am a part-time Postdoctoral Young Investigator at AI2 and a postdoctoral researcher at Stanford University working with Jure Leskovec, Chris Manning, and the SNAP and NLP groups. I completed my PhD at the University of Washington advised by Professor Yejin Choi. My research centers on developing natural language agents that can model, represent, and reason about knowledge.
Jeff Da is an undergraduate student at the University of Washington.
I am a fourth-year Ph.D. student in CS at McGill University and Mila, supervised by Dr. Jackie Cheung. In summer 2020, I am working as a research intern with Chandra Bhagavatula on commonsense reasoning and text generation. I am broadly interested in the research area of natural language processing, particularly on text summarization and reasoning. Besides research, I like to do yoga and dance.
I'm a fourth-year PhD student in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. I am advised by Prof. Yejin Choi. My research area is natural language understanding and generation. I'm excited about machine learning techniques and deep-learning models for social commonsense and logical reasoning in text.
I work on natural language processing, machine learning, social interactions, and computer vision. Starting in October 2020, I am a postdoctoral Young Investigator with Yejin Choi at AI2. Previously, I earned a PhD in Computer Science at Cornell University.
Jena Hwang is a Research Engineer at AI2. She received her Ph.D. in Linguistics and Cognitive Science at the University of Colorado Boulder. Her broad research interests lie in natural language processing, meaning representation, and commonsense reasoning. Prior to joining AI2, she was a researcher at the Institute for Human and Machine Cognition, where she collaborated in various NLP related projects. In her free time, she enjoys spending time with her family, cooking new dishes, and crafting projects like crocheting and sewing.
I'm Liwei and I'm currently a PhD student at UW CSE. I'm currently working on logical and pragmatics negations of ATOMIC.
Ronan Le Bras is a Research Scientist at AI2. His research interests include commonsense reasoning through natural language understanding, as well as computational methods for large-scale combinatorial optimization, reasoning, machine learning and human computation. He completed his Ph.D. in Computer Science from Cornell University in 2016. Prior to his Ph.D., he received his M.S. and B.S. from Ecole Polytechnique Montreal in Computer Engineering and in Software Engineering.
Jenny Liang is a senior student at the University of Washington studying computer science and informatics.
Ximing is a BS/MS combined student at University of Washington in CSE. Her research interest is around natural language processing and computer vision, especially commonsense reasoning in textual and visual context.
James is a PhD student from University of Washington. He graduated from U.C. Berkeley in 2019 with a B.S. in Electrical Engineering & Computer Science. His research interests are vision & language, language generation, knowledge acquisition and compositionality.
Karen is a 2nd-year PhD student at the University of Washington in CSE, advised by Yejin Choi. She is working on natural language processing and machine learning, especially commonsense reasoning in text and conversation generation. Outside of work, Karen likes photography and travel.
Keisuke Sakaguchi is a Research Scientist at AI2. He received his Ph.D. in Computer Science at Johns Hopkins University in 2018 advised by Benjamin Van Durme and Matt Post. He is broadly interested in computational and cognitive aspects of language processing.
Vered completed her PhD in Computer Science in Israel at Bar-Ilan University's NLP lab in 2019 (advisor: Ido Dagan). Her research interests are lexical semantics, multiword expressions, and revealing implicit information not mentioned in texts. Besides research, she likes to go to the gym, and she is slowly learning to speak Italian and play electric guitar.
Swabha received her PhD in Language and Information Technologies from CMU in May 2019, completing part of her degree in Seattle, where she was a visiting student at UW. Her current research interests include structured prediction and transfer learning. Among other places, she interned at AI2 during the summer and fall of 2018. Outside of research, she loves to dance, cook and socialize.
Peter West received his B.Sc. in Honors Computer Science from the University of British Columbia, and is now a graduate researcher with Yejin Choi at the University of Washington. His current research is focussed on creative methods for unsupervised learning in NLP.
I'm a third-year grad student at the University of Washington in CSE. My research centers around natural language processing and computer vision. In particular, I'm excited about expanding the scope and robustness of these AI systems.
Faeze is a Ph.D. student at University of California, Santa Cruz, where she also earned a Master's in Computer Science. She graduated from Iran University of Science and Technology in 2014 with BS and MS degree in Electrical Engineering. She is broadly interested in improving deep learning techniques for natural language understanding, generation, and social commonsense reasoning. Faeze did a research internship with MOSAIC team at AI2 working on rationale generation for non-monotonic reasoning with distant supervision.
Yue Dong is a fourth-year Ph.D. student in Computer Science at McGill University and MILA. Her primary research interests are in text summarization and conditional text generation. Her work includes designing models that balance content and discourse for different genres (e.g. news, medical documents, and scientific domain) in extractive summarization and designing systems that ensure the factual consistency in abstractive summarization. Yue’s research internship at AI2 focused on long-range dependency in language models through memory modules and attention-based decoding.
Denis is pursuing his PhD in Informatics at the University of Edinburgh in Scotland, where his research is situated at the intersection of machine translation, natural language understanding, and generation. During his internship with the Mosaic team, he investigated the capacity of generative models to perform grounded, goal-oriented social reasoning under constraints imposed by commonsense morality.
Jenny is an undergraduate senior at the University of Washington studying Computer Science and Informatics. During her internship at AI2, Jenny worked on interpreting social bias classifiers with mentors Swabha Swayamdipta and Chandra Bhagavatula. She also created a research demo for VisualCOMET.
Alisa is a PhD student at the University of Washington, having graduated rom Northwestern University with majors in computer science and math. She is broadly interested in devising methods of improving & evaluating model robustness and exploring how to align NLP with the end goals of human users. During her internship at Mosaic, she worked on detoxification of language models.