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, remote sensing, applied machine learning, and their applications to smart buildings and occupant thermal comfort. My recent work focuses on generative modeling, recommender systems, time-series outlier detection,and reinforcement learning.
Office: BEEHub Lab, SDE4 Level 3
|Apr 7, 2021||Joined the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation Organising Committee as Sponsorship Co-Chair at Coimbra, Portugal. Please consider submitting your work. [Call for Papers].|
|Apr 4, 2021||Joined the Asia-Peru-Pacific Society of Researchers in STEM (SAPPIENS) as Academic Coordinator.|
|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.|