Speakers

Jerone Andrews is a research scientist and contributes to the Sony AI Gastronomy and AI Ethics flagship projects. His research interests and expertise span computer vision and deep learning, in particular self-supervised anomaly detection, transfer learning, and adversarial machine learning. Prior to joining Sony, Jerone received an MSci in mathematics from King’s College London, which he followed with an EPSRC-funded MRes and Ph.D. in computer science at University College London (UCL). Subsequently, Jerone was awarded a Royal Academy of Engineering Research Fellowship, a British Science Association Media Fellowship with BBC Future, and a Marie Skłodowska-Curie RISE grant.

Jason Fries is a research scientist in the Shah Lab at Stanford University. Previously I was a CS postdoc in Stanford’s Mobilize Center, mentored by Chris Ré and Scott Delp. He is interested in tools and methods that enable domain experts to rapidly build and modify machine learning models. He is most passionate about medical application of machine learning, where obtaining large-scale, expert-labeled training data is a significant challenge. His research focuses on weakly supervised machine learning, training foundation models for medicine, and methods for data-centric AI.

Bryan Low is an Associate Professor of Computer Science at the National University of Singapore and the Director of AI Research at AI Singapore. He obtained the B.Sc. (Hons.) and M.Sc. degrees in Computer Science from National University of Singapore, Singapore, in 2001 and 2002, respectively, and the Ph.D. degree in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, Pennsylvania, in 2009. His research interests include probabilistic & automated machine learning, planning under uncertainty, and multi-agent/robot systems.

Yanjie Fu is an Associate Professor of School of Computing and Augmented Intelligence at Arizona State University. He received his Ph.D. degree from Rutgers, the State University of New Jersey in 2016, the B.E. degree from University of Science and Technology of China in 2008, and the M.E. degree from Chinese Academy of Sciences in 2011. He has research experience in industry research labs, such as Microsoft Research Asia and IBM Thomas J. Watson Research Center

Tong Zhao is a research scientist at Snap Research. His research interest include social recommendation, graph machine learning, representation learning, and user modeling.

Ziwei Liu is a Nanyang Assistant Professor (2020-) at School of Computer Science and Engineering in Nanyang Technological University, with MMLab@NTU. Previously, he was a research fellow (2018-2020) in CUHK with Prof. Dahua Lin and a post-doc researcher (2017-2018) in UC Berkeley with Prof. Stella X. Yu. His research interests include computer vision, machine learning and computer graphics.