About Me
| I am an Associate Professor in the Department of Computer Science, Department of Mathematics, and Institute of Data Science at the National University of Singapore
My research interests are in the areas of information theory, machine learning, and high-dimensional statistics. Please see my research and publications pages for details. |
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- Office:
- COM3 #02-57 (Comp. Sci.), S17 #05-17 (Maths)
- Phone:
- +65 6516 1179 (Comp. Sci.), +65 6516 2952 (Maths)
- Email:
- "scarlett" followed by "@comp.nus.edu.sg"
News:
- (Oct. 2024) Paper Exact Thresholds for Noisy Non-Adaptive Group Testing accepted to SODA 2025
- (Sept. 2024) Paper A General Framework for Clustering and Distribution Matching with Bandit Feedback uploaded to arXiv
- (Sept. 2024) Paper Exact Error Exponents of Concatenated Codes for DNA Storage uploaded to arXiv
- (Aug. 2024) Paper Robust Instance Optimal Phase-Only Compressed Sensing uploaded to arXiv
- (July 2024) Congratulations to Xu Cai for successfully defending his PhD thesis titled "On Error Bounds for Kernel-Based Optimization and Integration with Black-Box Queries"
- (June 2024) Paper Approximate Message Passing with Rigorous Guarantees for Pooled Data and Quantitative Group Testing accepted to SIMODS
- (May 2024) Paper Optimal 1-bit Error Exponent for 2-hop Relaying with Binary-Input Channels accepted to IEEE Transactions on Information Theory
- (May 2024) Paper Regret Bounds for Noise-Free Cascaded Kernelized Bandits accepted to TMLR
- (April 2024) Paper Concomitant Group Testing accepted to IEEE Transactions on Information Theory
- (April 2024) I have been promoted to Associate Professor
- (Jan. 2024) Paper "No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints" accepted to AISTATS 2024
- (Jan. 2024) Congratulations to Eric Han for successfully defending his PhD thesis titled "Bayesian Optimisation Techniques for High-Dimensional and Adversarial Settings"
- (Jan. 2024) Paper Mismatched Rate-Distortion Theory: Ensembles, Bounds, and General Alphabets accepted to IEEE Transactions on Information Theory