Ying Shi Teh

Ying Shi Teh is a Senior Research Scientist at NobleAI since August 2022, previously serving as a Research Scientist at Lawrence Livermore National Laboratory from May 2021 to August 2022, where research focused on molecular dynamics potential development. At Caltech, during the period from September 2015 to May 2021, Ying Shi Teh completed a PhD in Mechanical Engineering, with a thesis on physics-based and machine learning models to analyze complex materials and enhance density functional theory calculations. Additionally, experience includes a Graduate Teaching Assistant role, supporting a Calculus of Variations course, and an Undergraduate Student Researcher position at the National University of Singapore, where involvement included developing smart electromechanical actuation systems. Ying Shi Teh's early research work as a Student Researcher at the Data Storage Institute contributed to published findings in the New Journal of Physics. Academic qualifications include a Bachelor of Engineering from the National University of Singapore and advanced degrees from Caltech.