"The unexamined code is not worth writing" --Socodes
a bit about me:
I'm currently living in Singapore as a researcher at the Adaptive Computing Lab advised under the inspirational 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 research has mainly consisted of developing machine learning algorithms for object-based decision-making, with a focus on reasoning under uncertainty with Partially Observable Markov Decision Processes (POMDPs) for robotics. I'm interested in studying attention and how can AI agents function under computational resource constraints that are imposed on perception and reasoning: for example, 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 AI for Social Good. I am exploring ways of applying technology to achieve large-scale social impact on real-world problems (e.g. in education or sustainability). My outreach mission statement is to design technology to elevate our shared collective humanity.
Recent Life updates:
August 1st, 2020: Accepted into the Entrepreneur First Program in Singapore. A world-class talent incubator for deep technology startups.
June 12th, 2020: Presented our work on COVID-19 in a live global webinar as well as contributed a core mathematical model for the project.
March 26th 2020: Participating in Omdena's AI for Social Good COVID-19 challenge: collaboration with a world-class team of AI experts to design data-driven economic and health policy for effectively dealing with Coronavirus.
January 22nd 2020: Submitted Sample Bounds for Robust Multi-Object POMDP Planning via Rademacher Complexity to IJCAI 2020
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