Keynote Speakers

Keynote1: Archana Venkataraman

Archana Venkataraman is an Associate Professor of Electrical and Computer Engineering at Boston University. From 2016-2022, she was an Assistant Professor at Johns Hopkins University. Dr. Venkataraman directs the Neural Systems Analysis Laboratory and is affiliated with the Department of Biostatistics, the Department of Biomedical Engineering, the Center for Brain Recovery, and the Rafik B. Hariri Institute for Computing at Boston University. Dr. Venkataraman’s research lies at the intersection of biomedical imaging, artificial intelligence, and clinical neuroscience. Her work has yielded novel insights into debilitating neurological disorders, such as autism, schizophrenia, and epilepsy, with the long-term goal of improving patient care. Dr. Venkataraman completed her B.S., M.Eng. and Ph.D. in Electrical Engineering at MIT in 2006, 2007 and 2012, respectively. She is a recipient of the MIT Provost Presidential Fellowship, the Siebel Scholarship, the National Defense Science and Engineering Graduate Fellowship, the NIH Advanced Multimodal Neuroimaging Training Grant, numerous best paper awards, and the National Science Foundation CAREER award. Dr. Venkataraman was also named by MIT Technology Review as one of 35 Innovators Under 35 in 2019.

Keynote2: Jean Feydy

Jean Feydy is a tenured research scientist at Inria Paris. Following a PhD on the mathematical foundations of shape registration and a postdoc focused on geometric deep learning for structural biology, he joined the HeKA team, a translational research unit dedicated to public health and computational anatomy. His research focuses on bridging the gap between domain-specific modelling constraints and fast GPU implementations. Jean maintains the PyKeOps and GeomLoss libraries: two PyTorch extensions for geometric machine learning and optimal transport that have been downloaded over a million times each. Currently, he is bringing scalable survival and shape analysis to clinical research through the survivalGPU and scikit-shapes projects.

Previous Keynote Speakers

2024 - Udunna Anazodo || Ehsan Adeli
2023 - Neda Jahanshad || Catie Chang
2022 - Marius de Groot || Thomas Yeo
2021 - Adrian Dalca || Paul Thompson
2020 - Duygu Tosun-Turgut || Jorge Cardoso
2019 - Yong Fan || Pamela Douglas
2018 - Christos Davatzikos || Gael Varoquaux || George Langs