Jiale Shi

I am a Postdoctoral Associate at the Department of Chemical Engineering, Massachusetts Institute of Technology (MIT), under the supervision of Prof. Bradley D. Olsen (MIT) and Dr. Debra J. Audus (NIST). Under their guidance, I have been working on the topic of applying machine learning on polymer informatics, like polymer embedding, polymer similarity calculation and polymer data validation. I am a core member of the Community Resource for Innovation in Polymer Technology (CRIPT) which provides a platform for people working in polymer science and engineering to store and share data. Previously, I did my Ph.D. in Chemical Engineering at University of Notre Dame with Prof. Jonathan K. Whitmer. I utilized molecular simulation, enhanced sampling and machine learning to study the free energy landscapes of materials, and help people understand the mechanisms and design new materials. I received my B.S. in Chemistry at Peking University. I finished my undergraduate thesis on utilizing DFT to study the stability and electric structure of mixed halide perovskite, under the supervision of Prof. Hong Jiang.