I'm a Ph.D candidate at UC Berkeley in the Redwood Center for Theoretical Neuroscience + Vision Science Group. I work with Bruno Olshausen at UC Berkeley and Nina Miolane in the BioShape Lab at UC Santa Barbara.
I think about symmetry and geometry in neural representations for brains and machines
GSI 2023 | Group Equivariant Sparse Coding. Shewmake, Miolane, Olshausen
PMLR 2022 | NeurIPS Workshop: Symmetry & Geometry in Neural Representations. Sanborn, Shewmake, Azeglio, Di Bernardo, Miolane
ICLR 2022 | Challenge for Computational Geometry and Topology: Design and Results. Myers, Utpala, Talbar, Sanborn, Shewmake, et al.
JMLR 2020 | Geomstats: A Python Package for Riemannian Geometry in Machine Learning. Miolane, Guigui, Le Brigant, Shewmake, et al.
SciPy 2020 | Introduction to Geometric Learning in Python with Geomstats. Miolane, Guigui, Zaatiti, Shewmake, Hatem Hajri, et al.
2024 | Organizer, BANFF Workshop on Symmetry and Geometry in Neural Representations, Canada
2023 | Organizer, Workshop on Symmetry and Geometry in Neural Representations, NeurIPS 2023
2022 | Organizer, Workshop on Symmetry and Geometry in Neural Representations, NeurIPS 2022
2022 | Co-organizer, Bay Area Vision Day 2022 at UC Berkeley
2020 | Organizer, Lie Theory and Differential Geometry working group, Global via Zoom & Notion
Talks and Conferences
2023 | Oral Pres., Group Equivariant Sparse Coding. Neurogeometry session, Geometric Science of Information Conference
2023 | Invited Speaker, Bernstein Computational Neuroscience Conference, Berlin
2023 | Invited Speaker, Bispectral Neural Networks, Flatiron Institute CCN, NYC
2022 | Invited Speaker, Learning Group Structure from Data, 3rd International Symposium on the Mathematics of Neuroscience, Greece
2022 | Oxyopia Seminar, UC Berkeley Vision Group