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Invited Keynote Speakers



Fabio Nonato de Paula Fabio Nonato de Paula, Amazon Web Services
Jundong Li Jundong Li, University of Virginia
Short bio: Dr. Li is an Assistant Professor at the University of Virginia. His research interests are data mining and machine learning, focusing on graph machine learning, trustworthy/safe machine learning, and, more recently, large language models. He has published over 150 papers in high-impact venues (including KDD, NeruIPS, ICLR, WWW, SIGIR, WSDM, IJCAI, AAAI, SIGIR, ACL, EMNLP, CIKM, ICDM, SDM, ECML-PKDD, CSUR, TPAMI, TKDE, TKDD, TIST, etc.), with over 10,000 citation count. He has won several prestigious awards, including SIGKDD Best Research Paper Award (2022), NSF CAREER Award (2022), PAKDD Early Career Research Award (2023), JP Morgan Chase Faculty Research Award (2021 \& 2022), Cisco Faculty Research Award (2021), and being selected for the AAAI New Faculty Highlights roster (2021). His group's research is generously supported by NSF (CAREER, III, SaTC, SAI), DOE, Commonwealth Cyber Initiative, Jefferson Lab, JP Morgan, Cisco, and Snap.
Gabbrielle Johnson Gabbrielle Johnson, Claremont McKenna College
Short bio: Dr. Johnson is an Assistant Professor of Philosophy at Claremont McKenna College. Their work focuses on the Philosophy of Psychology (particularly perception and social cognition), Philosophy of Mind, Philosophy of Science, and Philosophy of Technology. Her current research explores theories of bias beyond individual agents, examining how biases manifest in domains such as machine learning systems, scientific inference, statistical models of the visual perceptual system, and broader societal and structural injustices.