I am a PhD student in the College of Information and Computer Sciences at UMass Amherst, advised by Professor Peter Haas. My research interests lie at the intersection of computer simulation and artificial intelligence. More specifically, I apply machine learning techniques to automated creation of better simulation models. I’m also interested in the design of simulation runtime systems that can transparently and dramatically improve simulation performance. Before joining UMass, I received my Bachelor’s degree from Shanghai Jiao Tong University.
- September 2021, I’m actively searching for internship in Summer 2022.
- December 2020, Our paper NIM: Modeling and Generation of Simulation Inputs via Generative Neural Networks was nominated as finalist for Best Contributed Theoretical Paper in 2020 Winter Simulation Conference.
- October 2020, I was selected as finalist for 2021 IBM PhD Fellowship.
- June 12, 2020, NIM: Modeling and Generation of Simulation Inputs via Generative Neural Networks is accepted to WSC 2020.