Stanford University
Showing 4,701-4,800 of 4,955 Results
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Jessica Yauney
Ph.D. Student in Education, admitted Autumn 2024
Graduate Program Assistant, SAL Digital LearningBioI am an Education PhD student at Stanford who is working in Computer Science and Artificial Intelligence. I was a software developer at FamilySearch and still love genealogy. I was a high school computer science teacher and dance teacher in Los Angeles, California. I'm interested in learning and improving myself as a programmer and an educator.
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Christine Yiwen Yeh
MD Student, expected graduation Spring 2027
Ph.D. Student in Biomedical Data Science, admitted Autumn 2020
MSTP StudentBioChristine Yeh is an aspiring physician-scientist with academic training and industry experience in translational bioinformatics and data science. Christine is currently a sixth year MD/PhD candidate in the Medical Scientist Training Program (MSTP) at Stanford. She is interested in advancing cancer care through the integration of clinical oncology, computational cancer biology, and translational research, with the goal of developing more precise and effective therapies. In June 2025, she completed her PhD in Biomedical Data Science. In her doctoral work she developed a novel unsupervised machine learning pipeline grounded in principles of algorithmic fairness and applied it to single-cell spatial transcriptomics and CRISPR-based functional genomics to identify mechanisms of immune evasion and therapeutic vulnerabilities in tubo-ovarian cancer. Prior to MD/PhD training, Christine was a computational structural biologist and drug discovery scientist at D. E. Shaw Research in New York City. There, she built machine learning algorithms for investigating protein structural dynamics and worked on several early drug discovery programs for diabetes and immuno-oncology indications. Christine’s drug target panel included non-receptor protein tyrosine phosphatases encoded by PTPN1 and PTPN11. Her work led to peer-reviewed publications describing lead compounds and a novel small molecule therapeutic that advanced to and completed early phase clinical trials.
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Bill Yen
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
Student Assistant, Electrical EngineeringBioBill Yen is a Ph.D. candidate in the Department of Electrical Engineering at Stanford University working in the area of low-power Internet of Things (IoT) systems. He is an interdisciplinary maker and environmental scientist passionate about solving issues related to food, water, and energy using smart technologies.
Yen's experience in industry (General Motors, CNH Industrial) and academic research (Northwestern - soil-powered computing, Stanford - low-power wireless communication) cultivated his interest in designing self-powered computing devices that boost system efficiency while lowering the environmental impact of existing processes. His work has been featured by The Independent, Fast Company, MIT Technology Review China, Hackster.io, and more. He is also a recipient of the Stanford Graduate Fellowship in Science & Engineering. -
Jeongwoong Yoon (Yoon)
Ph.D. Student in Bioengineering, admitted Autumn 2023
BioMy previous research focused on the development of toolkit for marine bivalve cell culture and transgene expression. Inspired by the experience, I am seeking to find efficient and universally applicable methods to study non-model organisms that lack research infrastructure. As a biologist, I am exploring how we can rewrite genetic code to understand and engineer multicellular body plan, harnessing synthetic biology and genomics tools.
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Sean Yoon
Masters Student in Computer Science, admitted Autumn 2023
Stanford Stdnt Employee-Summer, NeurosurgeryBioB.S. Candidate in Neuroengineering, co-advised by Prof. Ada Poon (Dept of EE) and Prof. Francis Willett (Dept of Neurosurgery)
Research Interests: Brain-Computer Interfaces, Neuroprosthesis, Deep Learning, Neuromorphics, Computational Neuroscience -
Angelina You
Masters Student in Management Science and Engineering, admitted Spring 2023
BioAngelina is a MS student in Management Science & Engineering at Stanford University, specializing in technology and engineering management. She is passionate about leveraging technology and analytics to address societal issues and assist the underprivileged. She has four years of data science and product experience at Meta and two other high-growth tech startups but she is also interested in entrepreneurship. Outside of work, she serves as a project-client manager for Statistics Without Borders and co-leads a graduate student startup community at Stanford. An explorer at heart, Angelina has a wide range of interests, including dancing, boxing, cooking, traveling, and cuddling with her baby Yorkie, Yoyo.
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Jeffrey Yu
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
BioI am a first year EE Ph.D. student majoring at Stanford University. I received my M.S. degree in Electrical Engineering from Stanford University in 2023 and my B.S. degree in Computer Engineering from UC San Diego in 2021. I am interested in DNN quantization and digital accelerator design.
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Yifan Yu
Ph.D. Student in Geophysics, admitted Autumn 2022
BioYifan is a PhD student in Geophysics, advised by Prof. Greg Beroza. His research interests include earthquake source study, location, and machine learning. He received bachelor degree in geophysics from Nanjing University.
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Anisa Yudawanti
Ph.D. Student in Education, admitted Autumn 2023
Research Assistant, Stanford Accelerator for LearningBioa-nee-sa yoo-da-wan-tee
she/her/hers
Anisa Yudawanti (she/her) is a PhD Candidate in Race, Inequality, and Language in Education in the Graduate School of Education. She comes to Stanford by way of the Midwest and West Sumatra, Indonesia.
Drawing on her experience as a community-based youth worker and high school social studies teacher, Anisa's research moves us to consider what studies of space and movement can bring to bear on our understanding of schools. Her scholarship sits at the intersections of education studies, Black and critical geographies, and abolition and carceral studies. Her current study examines schools as sites of enclosure and how racially marked youth navigate school space through the lens of escape and fugitivity. She situates her inquiry in the Midwest and the Bay Area. -
Chang M. Yun
Ph.D. Student in Chemical Engineering, admitted Autumn 2023
Current Research and Scholarly InterestsGenomics, Computational Biology, Deep Learning
