School of Engineering
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Emily Fox
Professor of Statistics and of Computer Science
On Partial Leave from 10/01/2024 To 06/30/2025BioEmily Fox is a Professor in the Departments of Statistics and Computer Science at Stanford University. Prior to Stanford, she was the Amazon Professor of Machine Learning in the Paul G. Allen School of Computer Science & Engineering and Department of Statistics at the University of Washington. From 2018-2021, Emily led the Health AI team at Apple, where she was a Distinguished Engineer. Before joining UW, Emily was an Assistant Professor at the Wharton School Department of Statistics at the University of Pennsylvania. She earned her doctorate from Electrical Engineering and Computer Science (EECS) at MIT where her thesis was recognized with EECS' Jin-Au Kong Outstanding Doctoral Thesis Prize and the Leonard J. Savage Award for Best Thesis in Applied Methodology.
Emily has been awarded a CZ Biohub Investigator Award, Presidential Early Career Award for Scientists and Engineers (PECASE), a Sloan Research Fellowship, ONR Young Investigator Award, and NSF CAREER Award. Her research interests are in modeling complex time series arising in health, particularly from health wearables and neuroimaging modalities. -
Zipeng Fu
Ph.D. Student in Computer Science, admitted Autumn 2022
BioZipeng Fu is a CS PhD student at Stanford AI Lab, advised by Chelsea Finn. His research focuses on deployable robot systems and learning in the unstructured open world. His representative work includes Mobile ALOHA, Robot Parkour Learning, and RMA, receiving CoRL 2023 & 2022 Best System Finalist awards. His research is supported by Stanford Graduate Fellowship as a Pierre and Christine Lamond Fellow. Previously, he was a student researcher at Google DeepMind. He completed his master's at CMU and bachelor’s at UCLA. Homepage: https://zipengfu.github.io/