School of Engineering
Showing 2,701-2,800 of 2,983 Results
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Michael Wornow
Ph.D. Student in Computer Science, admitted Autumn 2020
BioMichael is a computer science PhD student focused on developing and operationalizing large-scale pretrained models ("foundation models") in healthcare. He is advised by Nigam Shah and Chris Re and is supported by an NSF Graduate Research Fellowship.
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Qianying Wu
Ph.D. Student in Mechanical Engineering, admitted Autumn 2018
BioQianying Wu is a PhD candidate in the Mechanical Engineering Department at Stanford.
Growing up in a hot and humid climate in south China, Qianying developed her particular interest in thermal management. In the Nanoheat lab and advised by Prof. Ken Goodson, she is currently working on the design and fabrication of microporous wicking structures for capillary-driven two-phase heat and mass transfer, the simulation and integration of such engineered structures in novel high heat flux cooling devices, and exploring ways to utilize these technologies for positive energy and sustainability impact.
Qianying received her B.S in Engineering with top honors from Tsinghua University, where she was awarded the Xia An Shi Prize and National Scholarship, and her B. Econ from the School of Economics and Management at Tsinghua, where she was supported by a Fu Lai Chun Scholarship. -
Xiangjin Wu
Ph.D. Student in Electrical Engineering, admitted Autumn 2021
BioXiangjin Wu is a Ph.D. candidate in the Department of Electrical Engineering at Stanford University, co-advised by Prof. Eric Pop and Prof. H.-S. Philip Wong. He received his B.S. in Physics with Honors from Nanjing University in 2020. His research focuses on novel materials and heterostructures for memory applications, including phase change memory (PCM), dynamic random-access memory (DRAM), and their interconnects. Xiangjin is a recipient of the Samsung fellowship.
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Tiange Xiang
Ph.D. Student in Computer Science, admitted Autumn 2022
BioTiange Xiang is a Ph.D. student in Computer Science at Stanford University, where he is a member of the Stanford AI Lab (SAIL) and Stanford Vision and Learning Lab (SVL). His research interests include machine learning and computer vision in general. He received a bachelor's degree in Computer Science and Technology (Advanced)(Honors) from the University of Sydney, where he was awarded Honors Class I and the University Medal.
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Peter Xie
Ph.D. Student in Mechanical Engineering, admitted Autumn 2023
BioResearch:
Biophysics and Mechanotransduction of immune cells to develop translational therapies for cancer and infectious diseases.
Education:
Stanford University - PhD Mechanical Engineering (2023-2028)
Imperial College London - MEng Biomedical Engineering (2019-2023)
