TAG-DS 2025

Dr. Richard Baraniuk

Richard G. Baraniuk is the C. Sidney Burrus Professor of Electrical and Computer Engineering at Rice University, a member of the Digital Signal Processing (DSP) research group, a member of the Ken Kennedy Institute, the Founder/Director of OpenStax, and the Principal Investigator and Director of SafeInsights, NSF's national research infrastructure for learning and education. He is also a joint faculty member in the Rice departments of Computer Science and Statistics.

Dr. Baraniuk is a member of the US National Academy of Engineering and American Academy of Arts and Sciences and a fellow of the National Academy of Inventors, American Association for the Advancement of Science, and IEEE.  He has received the DOD Vannevar Bush Faculty Fellow Award (National Security Science and Engineering Faculty Fellowship), the IEEE Jack S. Kilby Signal Processing Medal, the IEEE Signal Processing Society Norbert Wiener Society Award and Claude Shannon-Harry Nyquist Technical Achievement Award, the Harold W. McGraw, Jr. Prize in Education, and the IEEE James H. Mulligan, Jr. Education Medal, among others.

Dr. Elisenda Grigsby

Elisenda Grigsby received her PhD in mathematics from UC, Berkeley in 2006, joined the math department at Boston College in 2009, and was awarded the AWM-Birman Research Prize in Topology and Geometry and the Presidential Early Career Award for Scientists and Engineers (PECASE) in 2015 and 2016, respectively, for her contributions to knot theory and low-dimensional topology. Shortly thereafter, she pivoted to studying the mathematical foundations of machine learning algorithms, focusing on geometric aspects of deep learning theory. Grigsby now holds a joint appointment in the CS department at BC, and co-directs the BC Experimental Math & Machine Learning Lab.

Dr. Haggai Maron

Dr. Haggai Maron is an Assistant Professor in the Faculty of Electrical and Computer Engineering at the Technion – Israel Institute of Technology and a Senior Research Scientist at NVIDIA Research. He focuses on deep learning for structured data, particularly sets, graphs, point clouds, weight spaces, and other data with inherent symmetry structures. Dr. Maron's work combines theoretical analysis and design of deep learning architectures with practical applications to real-world problems. Notable achievements include receiving the Outstanding Paper Award at ICML 2020, two Best Paper Awards at NeurIPS and ICML workshops in 2024, and the Alon scholarship for the integration of outstanding faculty from the Israel Council for Higher Education in 2024. He holds a Ph.D. in Computer Science and Mathematics from the Weizmann Institute of Science.

Dr. Robin Walters

Robin Walters is an assistant professor in the Khoury College of Computer Sciences at Northeastern University, based in Boston. 

Walters’ research focuses on the role of symmetry in deep learning. By exploring ways of building a problem’s symmetry into a deep learning model as hard mathematical constraints, Walters has discovered it’s possible to improve not just that model’s data efficiency, but its generalization and trustworthiness as well. Now, as director of the Geometric Learning Lab, Walters is pushing the limits of these methods, making use of approximate symmetry and exploring everything from the theory of underlying symmetry in neural network structure to the subject’s range of practical applications.  

Walters also brings his background as a mathematician into the classroom, where he teaches computational theory. He enjoys watching his students develop the ability to think rigorously and communicate clearly about the complex topic, and he particularly enjoys mentoring graduate students. Walters is a visiting fellow at the Boston Dynamics AI Institute, where he develops equivariant neural networks for sample efficient robot perception and manipulation.

Dr.  Tegan Emerson

Pacific Northwest National Laboratory

University of Texas El Paso

Colorado State University

Dr. Alex Cloninger

University of California San Diego

Dr. Bastian Grossenbacher Rieck

University of Fribourg

Dr. Gal Mishne

University of California San Diego

Dr. Henry Kvinge

Pacific Northwest National Laboratory

University of Washington

Dr. Yusu Wang

University of California San Diego

Dr. Katie Rainey

Naval Information Warfare Center Pacific

Dr. Timothy Doster

Pacific Northwest National Laboratory

Topology Area Chair

Mitchell Black

University of California San Diego

Algebra Area Chair

Henry Kvinge

Pacific Northwest National Laboratory

Geometry Area Chair

Qingsong Wang

University of California San Diego

DS Area Chair

Chester Holtz

University of California San Diego

Proceedings Chair

Alison Pouplin

Aalto University

Poster Chair

Eric Yeats

Pacific Northwest National Laboratory

Speaker  & Panel Chair

Jianke Yang

University of California San Diego

Submission Chair

Ińes García-Rodondo

London School of Geometry and Number Theory

Challenge Co-Chair

Guillermo Bernardez Gil

University of California Santa Barbara

Challenge Co-Chair

Lev Telyatnikov

École Polytechnique Fédérale de Lausanne

Challenge Co-Chair

Mit Kotak

Massachusetts Institute of Technology

Challenge Co-Chair

Mathilde Papillon

University of California Santa Barbara

Open Review Chair

Jeremy Wayland

Technical University of Munich