People / Shaowei Lin

Director of Research (Alum)

About

Shaowei Lin provides leadership and administrative infrastructure for basic and applied research at Topos. He believes in making machine intelligence (neural, symbolic, and other forms) safer and more accessible for the disadvantaged. His research focuses on spiking networks and program synthesis, via tools from information theory, algebraic statistics, singular learning, type theory and category theory. Shaowei received his PhD in mathematics from Berkeley (with Bernd Sturmfels). He has led research and strategic planning in different contexts — postdoc (Berkeley–Stanford), government (A*STAR), faculty (SUTD) and startup (Cues.sg, Awecom) — and enjoys building bridges between them.

Personal website

https://shaoweilin.github.io/

Blog posts

Call for 2025 Summer Research Associates

Come spend the summer at the Topos Institute! For early-career researchers, we’re excited to open up applications for our 2025 Summer Research Associate program.

Shaowei Lin

2024-11-12

Singular Learning Theory and Alignment Summit 2023

There are surprisingly deep connections between algebraic geometry and statistical learning theory, which have been explored over the past few decades by Sumio Watanabe in Singular Learning Theory. This body of work is highly relevant to the problem of understanding the behaviour of large…

Shaowei Lin

2023-06-17