Fei Ding

Fei Ding has a robust academic and professional background in computer science, holding both a Master of Science and a Doctor of Philosophy from Clemson University, achieving exceptional GPAs of 3.9 and 4.0, respectively. Professional experience includes working at Siemens Healthineers in a role focused on image and text analytics, where self-supervised pretraining solutions improved COVID-19 case predictions by 12%. As a Graduate Research Assistant at Clemson University, Fei Ding developed a novel unsupervised clustering method using self-supervised learning, resulting in a 20% increase in accuracy. Currently, Fei Ding serves as a Research Scientist at Meta, working on the FB MRS Platform.