about me

I’ve just started a new job as a Research Scientist at Meta!

I completed my PhD in Computer Science at Singapore Management University, advised by Assoc. Prof. Akshat Kumar. I was also very fortunate to be supported by the Salesforce Industrial Postgraduate Programme (administered by Singapore’s Economic Development Board). At Salesforce AI Research Singapore, I was supervised by Chenghao Liu (Lead Applied Scientist).

I did my undergraduate studies in Singapore University of Technology and Design, and Singapore Management University under the SUTD-SMU Dual Degree Programme in Technology and Management.

Outside of research, I enjoy reading, learning more about math/tech, eating good food, and exercising.

news

  • May 2024 - Paper titled Unified Training of Universal Time Series Forecasting Transformers accepted at ICML 2024 for an oral presentation!
  • Aug 2023 - Awarded the SMU Presidential Doctoral Fellowship and Dean’s List for 2023!
  • 25 Apr 2023 - Paper titled Learning Deep Time-index Models for Time Series Forecasting (DeepTime) accepted at ICML 2023!
  • 11 Aug 2022 - I was awarded the SMU Presidential Doctoral Fellowship!
  • Jul 2022 - Recognised as an “Outstanding Reviewer” (Top 10% of reviewers) for ICML 2022!
  • 21 Jan 2022 - My first, first author paper: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (CoST) has been accepted to ICLR 2022!
  • 17 Aug 2020 - First day of PhD journey at SFRA and SMU!