Publications include 'Constrained Best Arm Identification with Tests for Feasibility', 'Columbo: Expanding Abbreviated Column Names for Tabular Data Using Large Language Models', etc.; 1st place in VIMS-IAARC Joint Datathon 2022 Competition.
Research Experience
Worked with Prof. Kirthevasan Kandasamy on Active Learning and Multi-armed Bandits before Fall 2023; Worked with Prof. Vincent Y. F. Tan on Machine Learning focusing on Nonnegative Matrix Factorization in 2020-2021; Machine Learning Engineer Intern at Adobe (May 2025 - Aug 2025); Research Assistant at National University of Singapore (Jun 2020 - Aug 2021); Data Science Intern at Sprim Inc. (Feb 2020 - May 2020); Data Science Intern at HP Inc. (Aug 2018 - Dec 2018); Data Science Intern at Wish Inc. (May 2018 - Aug 2018).
Education
Ph.D. in Computer Science, University of Wisconsin–Madison, Advisor: Prof. AnHai Doan; Bachelor's degree with honors in Data Science and Analytics, National University of Singapore, 2020.
Background
Research interests lie in the intersection of data science and machine learning. Currently working on building efficient data management systems using Large Language Models.