Shaowei Lin
Director of Research
Topos US
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.