Invited Talks

• Understanding the Statistical Gaps in Tree-Based Learning
  • Gouxionghui Seminar, Online, 2025
  • MBZUAI Seminar, Abu Dhabi, UAE, 2026
  • UniMelb Seminar, Melbourne, Australia, 2026
• Sparse Modeling Revisited: From Linear Models to LLMs
  • AIVP, RIKEN-AIP & A*STAR Joint Workshop, Tokyo, Japan, 2025
  • ICSDS, Seville, Spain, 2025
• TabPFN: One Model to Rule Them All?
  • EcoSta, Tokyo, Japan, 2025
• Lessons on Mixing for Bayesian Additive Regression Trees
  • BayesComp, Singapore, 2025
  • Workshop on Efficient Sampling Algorithms for Complex Models, IMS, National University of Singapore, Singapore, 2025
• Statistical-Computational Trade-offs for Recursive Adaptive Partitioning Estimators
  • One World MINDS Seminar, Online, 2025 Video
  • Renmin University of China International Forum on Statistics, Beijing, China, 2025
  • INFORMS International Meeting, Singapore, 2024
  • RIKEN-AIP Deep Learning Theory Team Seminar, Tokyo, Japan, 2024
• A Mixing Time Lower Bound for a Simplified Version of BART
  • Workshop on Optimization in the Big Data Era, IMS, National University of Singapore, Singapore, 2024
  • BIRS Workshop on Harnessing the Power of Latent Structure Models and Modern Big Data Learning, Hangzhou, China, 2023
  • IMS Asia-Pacific Rim Meeting, Melbourne, Australia, 2023
  • Workshop on the Mathematics of Data, IMS, National University of Singapore, Singapore, 2022
• MDI+: A Flexible Random Forest-Based Feature Importance Framework
  • Young Mathematical Scientists Forum, IMS, National University of Singapore, Singapore, 2023
• Understanding and Overcoming the Statistical Limitations of Decision Trees
  • Neyman Seminar, Department of Statistics, University of California, Berkeley, USA, 2023
  • Department Seminar, Department of Statistics and Data Science, National University of Singapore, Singapore, 2022
  • Workshop on Machine Learning and its Applications, IMS, National University of Singapore, Singapore, 2022
  • Workshop on Information Theory and Data Science, IMS, National University of Singapore, Singapore, 2022
  • ESD Research Seminar, Singapore University of Technology and Design, Singapore, 2022
• Stable Discovery of Interpretable Subgroups via Calibration in Causal Studies
  • Bernoulli-IMS Young Researchers Pre-meeting, Seoul, South Korea, 2022
  • ICSA Canada Chapter Symposium, Banff, Canada, 2022
  • Causal Inference Research Group Seminar, University of California, Berkeley, USA, 2021
  • Biostatistics Seminar, University of California, Berkeley, USA, 2020
• Implicit Regularization for Constant Step-Size SGD: Why It Works for Non-Smooth, Non-Convex, Low Rank Models
  • Foundations of Data Science Program Reunion Workshop, Simons Institute, Berkeley, USA, 2019
  • AMS Spring Central and Western Joint Sectional Meeting, Special Session on Sparsity, Randomness, and Optimization, Honolulu, USA, 2019
  • ACO Seminar, University of California, Irvine, USA, 2019
• Efficient Algorithms for Phase Retrieval in High Dimensions
  • BLISS Seminar, University of California, Berkeley, USA, 2018
  • Math-FLDS Seminar, University of Southern California, USA, 2018
  • Probability Seminar, University of California, Irvine, USA, 2017
  • ARC-TRIAD Seminar, Georgia Institute of Technology, USA, 2017
  • SILO Seminar, University of Wisconsin, USA, 2017

Poster Presentations

• Revisiting Randomization in Greedy Model Search
  • JSM, Nashville, USA, Aug 2025
• Bayesian Concept Bottleneck Models with LLM Priors
  • XAI4Science: From Understanding Model Behavior to Discovering New Scientific Knowledge, Singapore, Apr 2025