Personal information
Biography
I am a research scientist in the Energy Systems Group at A*STAR’s Institute of High Performance Computing, where I apply control, learning, and optimization algorithms to study smart grid operations. I also manage the Energy Systems group, and am the Principal Investigator (PI) for the “Modelling the Electrification of Singapore’s Harbourcrafts (MESH)” project, which is funded by the Singapore Maritime Institute and the Prime Minister’s Office’s Science and Technology Policy and Plans Office (S&TPPO).
I co-lectured an undergraduate Game Theory course as an adjunct in the Engineering Systems and Design Pillar at SUTD last summer with Prof. Lingjie Duan. Before starting at IHPC in 2020, I was a Data Scientist at Schlumberger’s Software Technology and Innovation Center at Menlo Park, CA, USA, where I was selected to present at SLB’s Reservoir Symposium and was later also awarded the Initiator Award at SLB’s FIZZ Symposium.
I received my Ph.D. from Caltech’s Computing and Mathematical Sciences Program in 2019, where I was supervised by Prof. Adam Wierman and Prof. Steven Low. At Caltech, I received the Amori Doctoral Prize in CMS for my dissertation on Online Platforms in Networked Markets. Prior to that, I obtained my Bachelor’s Degree in Mathematical Sciences (First Class Honors) from the Nanyang Technological University’s School of Physical and Mathematical Sciences in 2013 under the Accelerated Bachelor Program. My Ph.D. and B.Sc. studies were funded by Singapore’s National Science Scholarship and the A*STAR Undergraduate Scholarship.
My research lies at the intersection of optimization, control, and operations research – with a special focus on formulating and designing algorithms that are provably “not too bad” in both the offline and online optimization settings. My research is applied in the area of power and energy systems, networking, economics, and computer science.