I’m currently a fourth year CS PhD candidate at Singapore Management University, advised by Assoc. Prof. Akshat Kumar. I am also very fortunate to be supported by the Salesforce Industrial Postgraduate Programme (administered by Singapore’s Economic Development Board). At Salesforce Research Asia, I am supervised by Chenghao Liu (Senior Applied Scientist), and Prof. Steven Hoi.

My current research interest lies in time series modelling with neural networks, where I’ve worked on incorporating suitable inductive biases for time-series data such as trend and seasonality into the deep learning setting (self-supervised learning framework, model architecture, etc.).

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

• 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!