School of Engineering
Showing 1-100 of 227 Results
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Xiangmeng (Shawn) Cai
Ph.D. Student in Bioengineering, admitted Summer 2022
BioI'm a Ph.D. student in bioengineering. My research interests include using engineering and computational methods to probe, measure, perturb, and predict chromosome organization and epigenetic dynamics.
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David F. Castro Pena
Masters Student in Management Science and Engineering, admitted Autumn 2023
BioDavid is a double major in industrial engineering and finance, specializing in causal inference and machine learning. During his experience of over 7 years, David has led teams within multilateral organizations, startups, and government institutions in the United States and LATAM. In his capacity, David integrates machine learning, econometrics, and political economy to craft solutions for intricate challenges affecting millions of people.
David is pursuing a master's degree in computational social science on a full scholarship at Stanford's School of Management Science and Engineering, where he is supervised by Dr. Vasilis Syrgkanis. Additionally, David obtained a master's degree in econometrics/public policy from the University of California, San Diego.
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Haoxuan Chen
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2022
BioPersonal website: https://haoxuanstevec00.github.io/
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Hugo Chen
Ph.D. Student in Electrical Engineering, admitted Autumn 2022
BioHugo "Jiun-Yu" Chen is currently pursuing his Ph.D. degree in the Department of Electrical Engineering at Stanford University. He earned his M.S. in Photonics and Optoelectronics from National Taiwan University in 2019 and his B.S. in Materials Science and Engineering from National Dong Hwa University in 2017.
Prior to joining Stanford, Hugo worked as an R&D engineer at Taiwan Semiconductor Manufacturing Company (TSMC) in the High Power Program and Analog Power/RF Specialty Technology from 2019 to 2022. His research experience includes investigating GaN high electron mobility transistors (HEMTs) for high power converter applications, oxide-based thin-film transistors (TFTs) for CMOS inverter applications, and III-V quantum dots molecular beam epitaxy (MBE) material growth.
As the first author, Hugo has published two peer-reviewed journal articles, six conference papers, and one US/KR/TW/CN/DE patent. He is currently advised by Professors H.-S. Philip Wong and Kwabena Boahen, and his research focuses on developing ferroelectric field-effect transistors (FeFETs) for dendritic-centric learning.
In his leisure time, Hugo enjoys biking, playing badminton, and watching dramas.
