Yiming Ding

Yiming Ding's work experience includes a role as a Quantitative Researcher at Citadel Securities starting in July 2020. Prior to that, Yiming worked as a Researcher at Berkeley Artificial Intelligence Research from September 2017 to December 2019, where they focused on goal-conditioned imitation learning and mutual information maximization for robust plannable representations. Yiming also served as a Software Engineering Intern at Uber ATG from May 2018 to August 2018. Additionally, Yiming worked as a Research Assistant of Deep Learning in Medical Imaging at the University of California, San Francisco from August 2017 to July 2018, where they developed a deep learning model to predict a diagnosis of Alzheimer's Disease. Yiming's earlier experience includes an internship as a Data Analyst Intern at Cognitive Leap Solutions Inc. from February 2017 to July 2017.

Yiming Ding began their education in 2013 at the No. 2 High School of East China Normal University, where they completed their high school education in the Class of Science and Innovation from 2013 to 2016. In 2015, they attended the Canada/USA Mathcamp for a summer camp. Yiming then pursued further education at the University of California, Berkeley from 2016 to 2020, where they earned a Bachelor's Degree in Computer Science and Applied Mathematics.