Stanford University
Showing 5,151-5,160 of 36,302 Results
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Rebecca C. Chen
Postdoctoral Scholar, Physics
BioBrinson Prize Fellow
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Zhenlin Chen
Ph.D. Student in Energy Science and Engineering, admitted Summer 2023
BioZhenlin (Richard) Chen is a Ph.D. candidate at Stanford's Adam Brandt lab, focuses on greenhouse gas emissions from oil and gas. His work primarily revolves around evaluating ground sensor technologies for methane detection and quantification ability. His methodological approach blends engineering principles, field data collection, and applied statistics. Chen is exploring AI-driven frameworks, particularly large language models, to refine energy data extraction and enhance the OPGEE model through private data fine-tuning and reinforcement learning. His emphasis remains on domain-specific tasks, aiming for efficiency in terms of latency and cost. He pursued his undergraduate studies in environmental science at Cornell University and holds a master's in Atmosphere and Energy Engineering from Stanford.
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Richard Owguan Chen, MD
Clinical Assistant Professor, Dermatology
BioRichard Chen, M.D. M.S., is Clinical Assistant Professor of Dermatology at Stanford and Chief Scientific Officer at Personalis, Inc. He attended medical school and completed residency at Stanford University, serving as Chief Resident in his final year. His interests include general dermatology, cancer genomics, precision medicine, genetics, bioinformatics and technology innovation for improved health care delivery and therapy.
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Ruishi Chen
Ph.D. Student in Education, admitted Autumn 2025
BioI use computational methods — including natural language processing, social network analysis, and causal inference — to model how innovations and ideas emerge, spread, and take root across social systems. I am particularly interested in:
- Knowledge Diffusion: how ideas are produced, selected, and diffused through scholarly communication and peer review
- Innovation and Technology Adoption: how organizations and social systems respond to and integrate emerging technologies
- AI in Education: how AI-empowered tools are adopted and used in secondary education
