I am a Ph.D. Candidate 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 robotics, remote sensing, 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, and reinforcement learning with human-in-the-loop control.
Office: BEEHub Lab, SDE4 Level 3
|Jun 24, 2022||Joined the Third ACM SIGEnergy Workshop on Reinforcement Learning for Energy Management in Buildings & Cities (RLEM 2022) as Technical Program Committee Co-Chair. Please consider submitting your work! [Call for Papers].|
|Jun 16, 2022||Our paper Smartwatch-based ecological momentary assessments for occupant wellness and privacy in buildings won the Best Poster Award at the Indoor Air 2022 conference. You can find the preprint here.|
|May 18, 2022||Interviewed by Andina News Agency, Peruvian state-owned online news agency, where I talked about my scientific and professional career, highlighting my PhD work and the interdisciplinary nature of it.|
|Apr 22, 2022||Awarded a PhD Fellowship at this year’s University of Nebraska-Lincoln (UNL) Durham School of Architectural Engineering and Construction PhD Symposium. This all-expenses-paid opportunity includes a presentation within the Future of the Building Industry (FOBI) Workshop|
|Apr 21, 2022||Our paper ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles is available in the Energy and Buildings Journal.|