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. 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, recommender systems, and reinforcement learning.
Office: BEEHub Lab, SDE4 Level 3
|Feb 20, 2021||Launched @VacunaBotPeru, a twitter bot that processes public information from the Peruvian Ministry of Health and the Peruvian National Institute of Statistics in order to generate daily tweets with COVID19 vaccination-related numbers and information.|
|Feb 2, 2021||Joined the 3rd International Workshop on Applied Machine Learning for Intelligent Energy Systems (AMLIES) Technical Committee, co-located with ACM e-Energy Conference 2021 at Torino, Italy. Please consider submitting your work. [Call for Papers]|
|Nov 20, 2020||Our paper Balancing thermal comfort datasets: We GAN, but should we? was presented in BuildSys’20 and is now available online|
|Nov 16, 2020||Joined SenSys and BuildSys 2020 as a Student Volunteer.|
|Nov 1, 2020||Our paper Differences In Thermal Comfort State Transitional Time Among Comfort Preference Groups is published in the 16th conference of the International Society of Indoor Air Quality & Climate (IndoorAir2020) proceedings|