School of Engineering
Showing 4,261-4,270 of 6,602 Results
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Deonna Owens
Masters Student in Computer Science, admitted Autumn 2024
BioI am a Master’s student in Computer Science at Stanford University, where my research focuses on fairness, bias, and evaluation in large language models. I study how algorithmic evaluation frameworks can fail under social ambiguity and distributional shift, with an emphasis on LLM-as-Judge systems, multi-agent evaluation, and human-aligned benchmarking.
I have conducted research in both academic and industry settings, including work at Adobe Research and Amazon Robotics, and have collaborated with researchers in university labs on responsible and trustworthy AI.
I have been supported by competitive fellowships and scholarships and have held leadership roles in technical and community-focused organizations. Alongside my research, I have founded and led initiatives centered on mentorship, access to computing education, and professional development for underrepresented students. -
Doug Owens
Henry J. Kaiser, Jr. Professor, Senior Fellow at the Freeman Spogli Institute for International Studies and Professor, by courtesy, of Management Science and Engineering
Current Research and Scholarly InterestsMy research uses decision modeling, cost-effectiveness analysis, and meta-analysis to evaluate clinical and health policy problems. Much of my work involves development of national guidelines for prevention and treatment.
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Jake Owens
Masters Student in Chemical Engineering, admitted Spring 2025
Life Science Research Professional 1, Program-Tang, S.Current Role at StanfordLife Science Research Professional in the lab of Sindy Tang
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Ekin Gunes Ozaktas
Ph.D. Student in Electrical Engineering, admitted Autumn 2024
Ph.D. Minor, PhysicsBioI am a PhD candidate and Stanford Graduate Fellow at Stanford University working with Prof. Shanhui Fan.
Contact: eozaktas [at] stanford [dot] edu -
Ayfer Ozgur
Professor of Electrical Engineering
BioOzgur's research focuses on information theory, wireless communication and networks, distributed estimation and learning