a bit about me:
I'm currently living in Singapore as a researcher at the Adaptive Computing Lab advised under the inspirational robotics Professor David Hsu. This is after receiving my Master's at Brown University where I had the tremendous 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 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. As of recent, I am exploring ways to get involved. I'm currently impressed by the growing movement of computational sustainability!
I've applied for PhD programs (Fall 2020) focusing on computational cognitive science, machine learning, and robotics.
Recent Life updates:
January 22nd 2020: Submitted Sample Bounds for Robust Multi-Object POMDP Planning via Rademacher Complexity to IJCAI 2020
December 15th 2019: PhD applications are done!
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
August 4th 2019: Moved to Singapore to start a year at the Adaptive Computing Lab under David Hsu