SB

Shaoyun Bai

Mathematics

Massachusetts Institute of Technology

Hands-onClear VisionGenerous StipendFunding KingJob Support
4.0/ 5.0
8 student reviews
👍5
👎0
Loading...

About Shaoyun Bai at Massachusetts Institute of Technology (MIT)

Shaoyun Bai is an Assistant Professor of Mathematics in the Department of Mathematics at the Massachusetts Institute of Technology, where he joined the faculty in July 2024. His research focuses on symplectic topology and its interactions with neighboring areas of geometry and topology, including algebraic geometry, algebraic topology, geometric topology, and dynamical systems. He is particularly interested in developing new analytical and topological tools for counting problems arising from moduli spaces, with applications to long-standing questions such as the Arnold conjecture, periodic points of Hamiltonian maps, higher-rank Casson invariants, the enumeration of embedded curves, and the topology of symplectic fibrations. He completed his undergraduate studies at Tsinghua University in 2017 and earned his PhD in Mathematics from Princeton University in 2022 under the supervision of John Pardon. Prior to joining MIT, he held visiting positions as a McDuff Postdoctoral Fellow at MSRI (now SLMath) and at the Simons Center for Geometry and Physics, and served as a Ritt Assistant Professor at Columbia University during the 2023–2024 academic year.

Research Areas

symplectic topologygeometryalgebraic geometryalgebraic topologygeometric topologydynamics

Rating Breakdown

Supervision Style4.7
Responsiveness4.0
Workload3.3
Funding Support3.3
Communication4.0

Reviews (3)

👍

A student recommended this supervisor and marked them as Funding King

Anonymous quick feedback

3 months ago

A
Anonymous12/19/2025
4.0

I attended a semester of seminars and had several office hours conversations. Mentoring emphasized precision in proof-writing and openness to student-driven problem choices. Work rhythm is intense around conferences but supportive for theory-focused mathematicians. Ideal for students strong in abstract reasoning.

A
Anonymous10/19/2025
4.0

Top-tier researcher with the mentorship to match. Provides opportunities most students dream of. Only caveat: lab can feel competitive. Good motivation for some, overwhelming for others.

👍

A student recommended this supervisor and marked them as Hands-on

Anonymous quick feedback

1 months ago

👍

A student recommended this supervisor and marked them as Clear Vision

Anonymous quick feedback

7 months ago

👍

A student recommended this supervisor and marked them as Job Support

Anonymous quick feedback

5 months ago

👍

A student recommended this supervisor and marked them as Generous Stipend

Anonymous quick feedback

4 weeks ago

A
Anonymous9/9/2025
4.0

Meticulous about experimental design and statistical rigor. Will push back if methodology isn't solid. Not the easiest to work with, but your papers will be stronger for it.

Frequently Asked Questions

Not sure how to interpret mixed signals? A structured decision guide can help you think through high-risk supervision choices more clearly. Download the free guide.