Subhro Ghosh
Associate Professor
National University of Singapore
Department of Mathematics
Dept of Statistics and Data Science
NUS AI Institute & Institute of Data Science
Email:
subhrowork (**at**) gmail.com
matghos (**at**) nus.edu.sg
About me
Research Grants and major organisational activities
Complex structures in Statistical Physics and the Math of Data [Singapore MOE Tier II Grant; 2022-25]
Stochastic models with latent symmetries [MOE Tier I grant; 2024-26]
Stochastics beyond Independence : A Math of Data Perspective [Singapore MOE Tier I Grant; 2020-24]
Resilience and Growth Programme [NUS, 2020-21]
Rigidity Phenomena in Random Processes [NUS Start Up Grant; 2017-23]
The Mathematics of Data (with A. Bandeira, P. Rigollet) [Institute for Mathematical Sciences, Singapore; 02 Jan–26 Jan 2024]
Mathematics for Machine Intelligence [One day Woskshop, Dept of Math (NUS); Apr 29, 2025]
Invited Session at 2025 INFORMS International Meeting [Singapore; Jul 20-23, 2025]
Statistical Physics of interacting particle systems (with D. Dereudre, A. Hardy, M. Maida) [Institute for Mathematical Sciences, Singapore; Aug 29 -- Sep 9 2022]
Random matrices, Stochastic geometry and Related topics (with T. Shirai, K. Suzaki) [J.S.P.S., IMS Singapore & Dept. of Math. (NUS); Mar 14--16, 2019]
Conformal Field Theories: Randomness and Geometry (with T.C. Dinh, S. Ganguly) [Institute for Mathematical Sciences, Singapore; May 18--29, 2026]
Symposium on Mathematics (with T.C. Dinh) [Dept of Math (NUS); Aug 5, 2022]
A Day of Randomness: in honour of Percy Deift (with H. Huang) [Dept of Math (NUS); May 24, 2024]
Oppenheim Lecture and Workshop (by Martin Hairer) (with W.T. Gan, R. Sun) [Dept of Math (NUS) & IMS, Singapore; Oct 16-26, 2024]
Hoang Son Tran (PhD, 2020 -- )
Kin Aun Tan (Phd, 2022 -- )
Clement Ng (PhD, 2025 -- ; Masters by research, 2023-24 )
Clarence Chew (PhD, 2024 -- )
Chew Shia See (PhD, 2025 -- )
Rathindra Karmakar (Research assistant, 2024 -- )
Manh Hung Tran (PhD, 2020--24 )
Xinran Bian (PhD, 2020--24 )
Gim Siang Chia (Masters by research, 2023--24)
Vladimir Petrovic (Masters by research, 2023--24)
Jingbin Pan (Masters by research, 2023--24)
Jeremiah Thomson (Masters by research, 2020 -- 2022)
Dongfang Sun (Masters by research, 2020)
Jnaneshwar Baslingekar (Research assistant, 2022)
Hugo Simon (Research assistant, 2022)
Back to topSatyaki Mukherjee (PhD UC Berkeley) [current]
Xiaoyu Dong (PhD University of Michigan) [current]
Samriddha Lahiry (PhD Cornell University) [current]
Akshay Hegde (PhD Oxford University) [Fall 2025 -- ]
Soumendu Sundar Mukherjee (PhD UC Berkeley) [next position : Assistant Professor, Indian Statistical Institute]
Meixia Lin (PhD National University of Singapore) [next position : Assistant Professor, Singapore University of Technology and Design]
Hong T.M. Chu (PhD National University of Singapore) [next position : Assistant Professor, VinUniversity, Vietnam]
Ujan Gangopadhyay (PhD University of Southern California) [next position : Postdoc, University of Luxembourg]
Hao Wu (PhD National University of Singapore) [next position : Assistant Professor, Nanjing University, China]
Back to topMathematics for Artificial Intelligence (MA3270) (undergraduate course on math for AI)
Mathematical Underpinnings of Data Science (MA5272) (graduate course on math of ML)
Stochastic Processes (S) (MA3238S) (advanced undergrad course for special talents programme)
Stochastic Processes and Algorithms (MA5249) (graduate course)
The Mathematics of Data (MA6251) (graduate topics course on applied mathematics)
Topics in Undergraduate Mathematics : The Mathematics of Data (MA4292) (advanced undergraduate)
Stochastic Calculus (ORF527) (graduate)
Stochastic Processes (MA3238/ST3236) (undergraduate)
Living with Mathematics (GEH1036) (introductory undergraduate)
Tutorial at Data Science: Probabilistic and Optimization Methods, ICTS-TIFR, Bangalore [Aug 2025]
Course at the Autumn School and Workshop on Dynamics of point processes and particle systems, Münster, Germany [Nov 2024]
Course at the Darwin “Summer” School on the Mathematical Aspects of Data Science (org. ANU), Darwin, Australia [Jun 2024]
Course at Topics in High Dimensional Probability, ICTS-TIFR, Bangalore [Jan 2023]
Course at DPP-Fermions 2022, ENS de Lyon, France [Jun 2022]
I organise the Stochastics Seminar at NUS Math. If you are interested in giving a talk, please reach out via e-mail.
We organise the following reading seminars lead by my postdocs and students :
Optimal Transport and Sampling
Quantum Stochastics and Quantum Learning
Boolean Fourier Analysis
Mathematics of Deep Learning