I am a Ph.D. Candidate and Research Fellow in the College of Design and Engineering at the National University of Singapore (NUS) advised by Prof. Clayton Miller. I am part of the Building and Urban Data Science Lab (BUDSLab) and graduate student researcher for Singapore-Berkeley Building Efficiency and Sustainability in the Tropics 2 (SinBerBEST2) advised by Prof. Stefano Schiavon.
My research interests are broadly in the field of remote sensing, time-series forecasting, applied machine learning, and their applications to smart buildings and occupant thermal comfort. My recent work focuses on deep unsupervised learning, recommender systems, time-series outlier detection, agent-based modeling, and reinforcement learning with human-in-the-loop control.
Office: BEEHub Lab, SDE4 03-02
|Sep 7, 2022||Selected as a participant in the Global Young Scientists Summit (GYSS) 2023 taking place on 17 – 20 January in Singapore|
|Aug 30, 2022||Joined the journal of Building Engineering as a peer reviewer.|
|Aug 28, 2022||Joined the NeurIPS 2022 Workshop - Tackling Climate Change with Machine Learning Program Committee. Please consider submitting your work. [Call for Papers].|
|Aug 26, 2022||Selected as part of the College of Design and Engineering - NUS Science Outreach presenters for 2022.|
|Aug 24, 2022||Started as a Postdoctoral Research Fellow at the College of Design and Engineering - NUS.|