Favyen is an Applied Research Scientist on PRIOR at AI2. Prior to AI2, he was a Ph.D. student at the Massachusetts Institute of Technology, advised by Sam Madden. In addition to tackling challenges with employing computer vision methods in application domains, Favyen is interested in building systems that make it easier for users with little expertise to develop ML pipelines for analyzing their large-scale image and video datasets. Outside of research, he enjoys cycling, hiking, and reading science fiction and fantasy.
Christopher Clark received a PhD from the University of Washington, where he worked with Luke Zettlemoyer. His PhD work was on preventing models from picking up shallow heuristics that work on the training data, but do not generalize to out-of-domain settings. More broadly, he is interested in better understanding how deep learning systems learn and generalize when used for natural language processing or computer vision. Outside of research, he enjoys hiking, skiing and board games.
Matt Deitke's interests are in computer vision, deep learning in robotics, and embodied AI. He is concurrently an undergraduate in the Paul G. Allen School of Computer Science & Engineering at the University of Washington, Seattle. Matt also enjoys computer graphics, interface design, and visualization, working for several years at a variety of companies on such topics before joining AI2 in the Fall of 2019.
Kiana Ehsani is a Research Scientist on PRIOR at AI2. Before joining AI2, she was a Ph.D. student at University of Washington, where she was co-advised by Ali Farhadi and Roozbeh Mottaghi. Her research interests are self-supervised representation learning, visual understanding, and learning from the interaction of embodied agents with the visual world. She loves mountaineering, hiking, climbing, and skiing.
Ross Girshick is a Distinguished Research Scientist at AI2. He received a PhD in computer science in 2012 from the University of Chicago while working with Pedro Felzenszwalb. Before joining AI2, Ross was a Research Scientist in Meta's Fundamental AI Research (FAIR) team working on computer vision and machine learning (2015-2023), a researcher at Microsoft Research (2014-2015), and a postdoc at the University of California, Berkeley, where he was advised by Jitendra Malik and Trevor Darrell (2012-2014). His interests include representation learning and systems for solving computer vision problems that exhibit broad generalization. He received the 2017 PAMI Young Researcher Award and the 2017, 2021, and 2023 PAMI Mark Everingham Prizes for his contributions to open source software and datasets. Ross is well-known for developing the R-CNN (Region-based Convolutional Neural Network) approach to object detection, and, in 2017, Ross received the Marr Prize at ICCV for 'Mask R-CNN'. Outside of research, Ross is usually rock climbing and trying to send his latest project.
Tanmay received his Ph.D. from the University of Illinois Urbana-Champaign where he was advised by Prof. Derek Hoiem and closely collaborated with Prof. Alex Schwing. Tanmay's research interests include learning from vision and language, and building general purpose learning systems. Besides research, Tanmay enjoys playing guitar and creating somewhat musical acoustic covers.
Having received a Bachelor of Arts in Game Design from the DigiPen Institute of Technology, Winson Han hopes to bring modern Game Design principles to the Computer Vision team. His focus on User Experience, Game Feel, and Game Mechanics Design bridges the gap between immersion in a digital space and the potential of real world applications. Along with Game Design, his interests include piano, digital art, and playing games—MMOs being his favorite.
Rose is a research engineer on PRIOR, formerly of the AST team. She received her PhD from the University of Washington in Mechanical Engineering, where she researched human-robot interaction. Her current research interests center around reinforcement learning and embodied AI. Outside of work, she has too many interests and should probably narrow it down a little.
Alvaro Herrasti received a B.S. in computer science and engineering at ITESM in Mexico City. After graduating, he worked at Microsoft's Xbox Live Team. Alvaro's interests include machine learning, AI applied to interactive environments, computer vision and natural language hybrid tasks, graphics and game design. He is fond of music; from listening and collecting records, to DJing and production.
Ani Kembhavi is the Director of Computer Vision at AI2. He is also an Affiliate Associate Professor in the Department of Computer Science & Engineering at the University of Washington. He is interested in research problems at the intersection of vision, language and embodiment. He got his PhD from the University of Maryland under the supervision of Prof. Larry Davis and also spent several years at Microsoft Bing building large scale machine learning systems for Image and Video Search. Besides research he loves spending time with his family, traveling, looking for new restaurants, watching sports and the outdoors.
Yejin Kim is a Research Engineer on the PRIOR team, holding an undergraduate degree from Johns Hopkins University and a master's degree from Cornell University. Her prior experience encompasses diverse aspects of research and development in robotics, including mechatronics, computer vision, and simulation. Her research interests center on enhancing the capabilities of dexterous mobile robots. In addition, Yejin is a painter and mixed-media artist. She showcased her artwork in generative AI and robotics at various forums.
Ranjay Krishna is a Research Scientist at AI2 and an Assistant Professor at the Paul G. Allen School of Computer Science & Engineering. His research lies at the intersection of computer vision and human computer interaction. This research has received best paper, outstanding paper, and orals at CVPR, ACL, CSCW, NeurIPS, UIST, and ECCV, and been reported by Science, Forbes, the Wall Street Journal, and PBS NOVA. His research has been supported by Google, Amazon, Cisco, Toyota Research Institute, NSF, ONR, and Yahoo. He holds a bachelors degree in Electrical & Computer Engineering and in Computer Science from Cornell University, a masters degree in Computer Science from Stanford University and a Ph.D. in Computer Science from Stanford University.
Duong Le is a Predoctoral Young Investigator on the PRIOR team. He graduated from Ho Chi Minh city University of Technology in 2020 with a B.eng in Computer Science. Before joining AI2, he was at VinAI Research and also spent past summers interning at Stanford, NUS, and TUAT. Duong's research interests are in the area of learning from unlabeled data in vision domain.
Jiasen obtained his Ph.D in the College of Computing at the Georgia Institute of Technology in Fall 2019, under the supervision of Prof. Devi Parikh. His research interests are in the intersection of vision, language and embodiment. Specifically, he is interested in multimodal representation learning, emerging of interpretable communication and common sense abstraction. Beyond research, he enjoys traveling, photography and tennis.
Sangho Lee is a Young Investigator at AI2 on the PRIOR team. His research interests include multimodal representation learning, especially for high-level video understanding and reasoning. He received his PhD in Computer Science and Engineering from Seoul National University where he was advised by Prof. Gunhee Kim. Beyond research, he enjoys watching baseball or soccer games.
Wei-Chiu Ma is a Young Investigator at AI2 and an incoming Assistant Professor at Cornell University. He received his Ph.D. in EECS from MIT. His research lies at the intersection of computer vision, robotics, and machine learning.
Oscar Michel is a Predoctoral Young Investigator on the PRIOR team. He received his undergraduate degree in mathematics from University of Chicago where he began doing research in computer vision and deep learning. In his free time, he enjoys biking, playing volleyball, collecting books and learning about art history.
Jordi received his Ph.D. from the Universitat Politecnica de Catalunya (Barcelona) in September 2011 and two M.Sc.'s, in Research on Information Technologies and in Telecommunication Engineering, from the same university in 2008 and 2006. Before joining AI2, he worked for Technicolor R&I and Amazon as a research scientist. His research interests range from multi-view reconstruction and machine learning-based image processing to applications of deep learning with main focus on computer vision. Besides research, he loves cooking, hiking, every piece of art of the Romantic era, science fiction and graphic novels.
Rohun is a research engineer in PRIOR. Before AI2, he was working at Amazon in video generation and scene understanding. His research interests are in generative computer vision, scene understanding and 3D vision. He attended school at Cornell Tech and IIT Kanpur. When he is not working, he enjoys basketball, snowboarding, reading and petting dogs on the street.
Eli VanderBilt graduated from the University of Idaho in 2012, with a Bachelor of Science in 3D Art and Animation. Since then, he has worked as an artist in the fields of gaming, virtual reality, and architecture, with an emphasis on visual storytelling through player interaction. His hobbies include traveling, film study, fantasy/sci-fi literature, and arts & crafts.
Luca received his Ph.D. from the Department of Statistics at the University of Washington in 2018. Luca's research interests are at the intersection of reinforcement learning, embodied AI, and computer vision. Before joining the University of Washington, Luca completed his undergraduate degree in Mathematics at UC Berkeley where he was awarded the departmental distinction. Beyond research, he enjoys bouldering, eating, and trying new things.
Piper received her B.S. and M.S. degrees in Computer Science from Western Washington University in 2019 and 2021, where her research focused on few-shot learning for audio classification and event detection, as well as climate data emulation using generative adversarial networks. Piper's current research interests revolve around employing computer vision methods to various application domains. In her free time, she enjoys mountain biking, climbing, skiing, backpacking, and traveling.
Kuo-Hao Zeng is a Research Scientist on the PRIOR team at AI2. Before joining AI2, he was a Ph.D. student at University of Washington, where he was co-advised by Ali Farhadi and Roozbeh Mottaghi. His research interests are in Learning through Interaction and utilizing Visual Reasoning to Learn Interactive Embodied Agents. He enjoys cycling, hiking, and trying new things.
Zichen "Charles" Zhang is a Predoctoral Young Investigator on the PRIOR team. He received his undergraduate degree in Mathematics and Computer Science at Macalester College. His research interest lies in reinforcement learning, embodied AI, and multimodal learning, for developing generally capable autonomous agents. Apart from research, he enjoys travel, sports, and anything new.
