Geometrization of AI: Programming & Events
TDAI’s Geometrization of AI theme explores how geometric structures and representations shape modern machine learning—from high-dimensional embeddings to spatial reasoning and structure in data—focusing on interpretability, scalability, and mathematical foundations. Below you’ll find upcoming seminars, workshops, and discussions hosted under this theme.
Upcoming Events
Past Events
Geometrization of AI | TDAI Speaker Series
Speaker: Yao-Yi Chiang (University of Minnesota)
Seminar: From Geographic Space to Learned Geometric Space
Wednesday, March 11, 2026 · 3:00–4:00 PM (ET)
Pomerene Hall, Room 350 (Project Zone)
Light refreshments provided
Geometrization of AI | TDAI Speaker Series
Speaker: Misha Belkin (University of California, San Diego)
Seminar: Feature Learning and the Linear Representation Hypothesis in Large Language Models
Wednesday, February 18, 2026 · 3:00–4:00 PM (ET)
Pomerene Hall, Room 350 (Project Zone)
Geometrization of AI | TDAI Speaker Series
Speaker: Gauri Joshi (Carnegie Mellon University)
Seminar: Federated Fine-Tuning and Model Merging for Large Language Models
Friday, November 21, 2025 · 10:30–11:30 AM (ET)
Pomerene Hall, Room 350 (Project Zone)
Past Events
Geometrization of AI | TDAI Speaker Series
Speaker: Yao-Yi Chiang (University of Minnesota)
Seminar: From Geographic Space to Learned Geometric Space
Wednesday, March 11, 2026 · 3:00–4:00 PM (ET)
Pomerene Hall, Room 350 (Project Zone)
Light refreshments provided
Geometrization of AI | TDAI Speaker Series
Speaker: Misha Belkin (University of California, San Diego)
Seminar: Feature Learning and the Linear Representation Hypothesis in Large Language Models
Wednesday, February 18, 2026 · 3:00–4:00 PM (ET)
Pomerene Hall, Room 350 (Project Zone)
Geometrization of AI | TDAI Speaker Series
Speaker: Gauri Joshi (Carnegie Mellon University)
Seminar: Federated Fine-Tuning and Model Merging for Large Language Models
Friday, November 21, 2025 · 10:30–11:30 AM (ET)
Pomerene Hall, Room 350 (Project Zone)
Stay Involved
- Interested in participating, collaborating, or proposing programming? Contact: dasta@stat.osu.edu
or paul.963@osu.edu - To receive updates on events, workshops, and opportunities in this theme, join the TDAI mailing list:
https://mailchi.mp/osu/oyxkgsy36d