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Frances Ding

Machine Learning PhD Candidate at UC Berkeley

Frances Ding is an accomplished individual with a diverse educational background and extensive experience in machine learning, biology, and computer science.

Frances completed her Doctor of Philosophy (PhD) in Machine Learning at the prestigious University of California, Berkeley, where she honed her expertise in the field.

Prior to her PhD, Frances excelled at Harvard University, graduating with a Bachelor's Degree in Biology and Computer Science with a remarkable GPA of 4.0 out of 4.0.

Frances has been affiliated with several renowned organizations, including serving as a PhD student in the Department of Electrical Engineering and Computer Sciences (EECS) at UC Berkeley.

She has also held roles as a Research Fellow at Harvard University, a Masters Student in Machine Learning at the esteemed University of Cambridge, and as a Trader at Jane Street.

Frances's rich academic journey includes being a Teaching Fellow for CS 181: Machine Learning at Harvard's John A. Paulson School of Engineering and Applied Sciences.

She has actively contributed to various initiatives at Harvard, such as being the Co-President of Harvard College Effective Altruism and Co-Founder of Harvard College Partners in Health Engage.

Furthermore, Frances has engaged in research activities, including positions as an Undergraduate Researcher at Harvard University, Co-Chair of Programming at Harvard College Undergraduate Research Association, and a Research Intern at Vanderbilt University.

Frances Ding
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Location

Berkeley, California