Keynotes
Rose Yu is an associate professor at the University of California, San Diego, in the Department of Computer Science and Engineering. She is a primary faculty member with the AI Group and is affiliated with the Halıcıoğlu Data Science Institute. Her research focuses on machine learning, particularly for large-scale spatiotemporal data, and she is passionate about leveraging AI for scientific discovery.
Dr. Yu has received numerous awards, including the NSF CAREER Award, Hellman Fellowship, and Faculty Awards from JP Morgan, Meta, Google, Amazon, and Adobe. Before joining UC San Diego, she was an assistant professor at Northeastern University and a postdoctoral scholar at the California Institute of Technology.
Inivited
Zahra Kodkhodaie is a PhD student of Data Science at NYU, advised by Prof. Eero Simoncelli, and a guest researcher in the Center for Computational Neuroscience. Her research focuses on understanding and improving deep neural networks by analyzing and imposing mathematical symmetries on the architecture. More recently, she has worked on extracting and utilizing the prior embedded in a trained deep neural network denoiser for solving other computer vision problems without further training.
Zahra completed her B.Sc. in Solid State Physics at K.N. Toosi University in Tehran, Iran, and her M.Sc in Data Science and Psychology at NYU.
Joey Bose is a Post-Doctoral Fellow at the University of Oxford working with Michael Bronstein and an ML scientist at Dreamfold. He completed his PhD at McGill/Mila under the supervision of Will Hamilton, Gauthier Gidel, and Prakash Panagaden. His research interests span Generative Modelling, Differential Geometry for Machine Learning with a current emphasis on understanding symmetries, equivariances, and invariances in data.
Previously, he completed his Bachelor’s and Master’s degrees from the University of Toronto, working on adversarial attacks against face detection, and is the President and CEO of FaceShield Inc., an educational platform for digital privacy for facial data. His work has been featured in Forbes, CBC, VentureBeat, and other media outlets and is generously supported by the IVADO PhD Fellowship.
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