I am a Ph.D. Candidate in the School of Design and Environment at the National University of Singapore (NUS) advised by Prof. Clayton Miller and Prof. Tham Kwok Wai. 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)
My research interests are broadly in the field of robotics, applied machine learning and their applications to smart buildings and occupant thermal comfort. My recent work focuses on generative modeling, bayesian methods, and reinforcement learning.
Office: BEEHub Lab, SDE4 Level 3
|Jul 8, 2020||Our online class on edX Data Science for Construction, Architecture and Engineering is live on its second iteration|
|Jul 4, 2020||Our paper Humans-as-a-Sensor for buildings: Intensive longitudinal indoor comfort models is now available as preprint|
|Apr 15, 2020||Our online class on edX called Data Science for Construction, Architecture and Engineering started|
|Apr 4, 2020||Our paper Islands of misfit buildings: Detecting uncharacteristic electricity use behavior using load shape clustering is published in Building Simulation Journal|
|Jan 24, 2020||Joined the 2nd International Workshop on Applied Machine Learning for Intelligent Energy Systems (AMLIES) Technical Committee, co-located with ACM e-Energy Conference 2020 at Melbourne, Australia. Please consider submitting your work. [Call for Papers]|