a bit about me:
I'm currently living in Singapore as a researcher at the Adaptive Computing Lab advised by the eminent robotics Professor David Hsu for the year. This is after receiving my Master's at Brown University where I had the pleasure of conducting research under Professor Stefanie Tellex at the Human To Robots Lab.
Inspired by cognitive science, my interests are at the intersection of robotics and reinforcement learning, consisting of developing machine learning algorithms for object-based perception and reasoning. This has resulted in research on Partially Observable Markov Decision Processes (POMDPs) for applications in robot navigation and manipulation tasks. Humans do not see a visual scene as pixels; rather they are able to pick out objects of interest and selectively reason about them. How is this possible? and more importantly... How does this influence decision-making?
One personal consideration of mine is the application of technology for social good. I'm impressed by the growing movement of computational sustainability.
Currently applying for PhD programs (Fall 2020) focusing on computational cognitive science, machine learning, and robotics.
Recent Life updates:
October 15th 2019: Application for US Patent (#405505-561P01US) SYSTEMS AND METHODS FOR OPERATING ROBOTS USING OBJECT-ORIENTED PARTIALLY OBSERVABLE MARKOV DECISION PROCESS completed
September 18th 2019: First talk at the Adaptive Computing Lab
September 5th 2019: Submitted OO-POMCP: Robust Multi-Object Planning for Object-Oriented POMDPs to AAAI 2020
August 4th 2019: Moved to Singapore to start a year at the Adaptive Computing Lab under David Hsu