Dr John Pang is a research scientist and group manager in the Energy Systems Group at A*STAR's Institute of High Performance Computing (IHPC), where he applies control, learning, and optimization algorithms to study smart grid operations and the intersection with vehicular electrification. Before starting at IHPC in 2020, he was a Data Scientist at Schlumberger's Software Technology and Innovation Center (STIC) at Menlo Park, CA, USA, where he developed proof-of-concept ML algorithms for various Oil & Gas use-cases, and was selected to present at SLB's Reservoir Symposium in 2019 and was later also awarded the Initiator Award at SLB's FIZZ Symposium in 2020.
Dr Pang received his Ph.D. from Caltech's Computing and Mathematical Sciences Program in 2019, supervised by Prof. Adam Wierman and Prof. Steven Low. He received the Amori Doctoral Prize in CMS for his dissertation on Online Platforms in Networked Markets. He obtained his Bachelor's Degree in Mathematical Sciences (First Class Honors) from the Nanyang Technological University's School of Physical and Mathematical Sciences in 2013.