Group | Michael Choi

Group

Ph.D. students:

Youjia Wang (NUS DSDS), supported by NUS PGF

Yao Liu (visiting PhD student from Fujian Normal, advised by Jian Wang)

Undergraduate/RA/IRR/UROPS/FYP/Capstone/master/MPhil students:

• Ryan Lim (NUS FYP, 2025/26)

  • Group-averaged Markov chains

• Oliver Kong (NUS UROPS, 2025/26 Semester 1)

  • Report: Decomposition of the spectral and isopermetric profile of Markov chains

• Ryan Zheyuan Lai (NUS UROPS, NUS REx fellow, 2024/25 Semester 2 - 2025/26 Semester 1)

  • Report: Information-theoretic analysis of multivariate Markov chains: subset selection and minimax factorization

• Mulan Qin (NUS UROPS, 2024/25 Semester 2)

  • Report: Mean Field Langevin Dynamics: Particle-Based Optimization with Landscape Modification

• Mathews Boban (NUS RA, 2024 Summer)

  • Sum-of-squares methods in Markov chains

• Taiga Yamamoto (NUS FYP, 2023/24)

  • Thesis: Optimizing Generative Adversarial Networks: The Impact of Landscape Modification on GAN Performance

• Nicole Lai (Yale-NUS Capstone, 2023/24)

  • Thesis: Improved Sampling Algorithms for Statistical Physics

• Andrew Siow (Yale-NUS Capstone, 2023/24)

  • Thesis: Improved Adaptive Optimization for Language Modeling

• Anzelle Lee (NUS FYP, 2023/24)

  • Thesis: Investigating the Effects of Natural Gradient and Landscape Modification on Overcoming Local Minima in Deep Learning

• Adam Tan (NUS FYP, 2022/23)

  • Thesis: Escaping Local Maxima in Reinforcement Learning through Landscape Modified Langevin Dynamics

• Stefan-Cristian Roata (Yale-NUS Capstone, 2022/23)

  • Thesis: Landscape Modification Meets Deep Learning: Visualizing the Loss Landscape of Neural Networks (MCS best capstone prize honorable mention - top 2)

• Zach Tan (Yale-NUS IRR, 2022/23 Semester 1)

  • Topic: Reinforcement learning

• Tristan Koh (Yale-NUS Capstone, co-advise with NUS Law Simon Chesterman, 2022/23)

• Valeria Santana (Yale-NUS Capstone, 2022/23)

  • Thesis: Landscape Modification in Stochastic Variance Reduced Gradient

• Jonathan Chia (Yale-NUS Capstone, co-advise with John Pang, 2022/23)

• Ioana Todea (Yale-NUS Capstone, 2021/22)

  • Thesis: Landscape modification in machine learning optimization (MCS best capstone prize honorable mention - top 2)

• Yilin Wang (Yale-NUS Capstone, 2021/22)

  • Thesis: Option Pricing with Stochastic Discretization Schemes

• Kimberly Yeo (Yale-NUS Capstone, 2021/22)

  • Thesis: Quantitative Risk Management in Cryptocurrency

• Aryton San Joaquin (Yale-NUS Capstone, co-advised with Reza Shokri 2021/22)

  • Thesis: In Veneno Veritas: Membership Inference Attacks with Data Poisoning

• Ruicong Wang (NUS Statistics, 2021/22)

• Venkatkrishna Karumanchi (Yale-NUS, 2021/22 undergraduate research + 2022/23 Capstone)

  • Thesis: Iterated Energy Transformation Variants: Towards a Novel Stochastic Optimization Algorithm

• Yilin Yu (CUHKSZ Master of Data Science Capstone, Fall 2020)

• Fan Xie (CUHKSZ Master of Data Science Capstone, Fall 2019)

• Boting Chen (CUHKSZ Master of Data Science Capstone, Fall 2019)

• Kexin Zhao (CUHKSZ, Fall 2019 - Summer 2020)

• Xinyi Ye (CUHKSZ, Fall 2019 - Summer 2020)

• Xinyang Luo (CUHKSZ, Fall 2019 - Summer 2020)

• Jing Zhang (CUHKSZ, 2019 - 2022)

• Zhipeng Huang (CUHKSZ, Summer 2018 - Spring 2019)

• Evelyn Li (Visiting undergraduate from Sun-Yat-Sen University, Summer 2018)

Postdoc:

Vitali Kapitan (NUS DSDS), supported by a Tier 1 DSSD grant with Wenqian Chen (NUS Pharmacy)