Stanford University
Showing 4,951-5,000 of 34,835 Results
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Michelle M. Chen, MD, MHS, FACS
Assistant Professor of Otolaryngology - Head & Neck Surgery (OHNS)
BioDr. Chen is a fellowship-trained head and neck surgical oncologist with a board certification in otolaryngology and an assistant professor with the Stanford School of Medicine Department of Otolaryngology.
Her practice focuses on the treatment of cancers that affect the head and neck. She has received additional training in microvascular reconstruction and transoral robotic surgery.
Dr. Chen has an active lab involved in head and neck cancer health services research and her work has appeared in numerous journals, including The Journal of the American Medical Association, Cancer, Journal of the National Cancer Institute, and Journal of Clinical Oncology. She has also authored chapters in textbooks on head and neck cancer treatment.
Dr. Chen is a member of the American Academy of Otolaryngology—Head & Neck Surgery (AAOHNS) and the American Head & Neck Society. -
Peiqi Chen, MA
Social Science Research Professional 1, Stanford-Surgery Policy Improvement Research and Education Center
BioPeiqi Chen, M.A., B.A., is a Social Science Research Professional at the S-SPIRE Center. With a bachelor’s degree in Sociology and Psychology, and a certificate in non-profit organization management from the University of Iowa. Followed by a master’s degree in Social Sciences from the University of Chicago, Peiqi has developed a robust knowledge and skill set in various research methodologies and research tools. In her MA program in Social Science at the University of Chicago and writing a thesis about family planning policy evaluation on women’s maternity rights. At S-SPIRE, she assists clinical researchers with qualitative data gathering and analysis. Before attending Stanford, she completed two internships at nonprofit organizations. She conducted research on social stigma toward COVID19 patient and front-line health workers during the pandemic. Her research interests lie in sexual health, the evaluation of policy outcomes, and the improvement of social welfare for underrepresented populations.
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Po-Han Chen
Ph.D. Student in Electrical Engineering, admitted Winter 2021
BioPo-Han Chen is an EE Ph.D. student at Stanford University supervised by Prof. Priyanka Raina. He received his B.S. in Electrical Engineering and Computer Science (EECS) and M.S. in Electrical Engineering from National Tsing Hua University (Taiwan) in 2016 and 2018 respectively. Before joining Stanford, he was a digital circuit designer at MediaTek where he worked on developing hardware architectures of image processing pipeline. He is interested in designing hardware accelerators. Most of his previous works were related to computational photography algorithms such as digital refocusing. Currently, He is focusing on analyzing and designing architecture of CGRAs to create high-performance, energy-efficient, and reconfigurable computing platforms.
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QiLiang “Q” Chen
Assistant Professor of Anesthesiology, Perioperative and Pain Medicine (Adult Pain)
Current Research and Scholarly InterestsMy research focuses on understanding the plasticity in pain-modulating circuits in pathological pain states. I started with defining a basic functional framework that links the pain-transmission system to the pain-modulation system, through which I explored the central mechanism of sensitization in chronic pain after a peripheral injury. Based on this fundamental observation, my work now focuses on investigating the pathophysiology and the role of endogenous opioids in chronic pain related to brain injury and other forms of trauma, a topic especially relevant to chronic post-traumatic pain sufferers. Clinically, I am exploring the use of advance image-guidance in pain interventions for treating complex headache and craniofacial pain. Ultimately, I hope to translate these fundamental knowledge and technologies to patient care and provide potential new therapeutic targets to help those with pain after head injury and polytrauma.
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Raymond Chen
Lead Undergraduate Advising Director, Academic Advising Operations
Current Role at StanfordLead Undergraduate Advising Director
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Rebecca C. Chen
Postdoctoral Scholar, Physics
BioBrinson Prize Fellow
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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
Research Assistant, McFarland ProgramBioI 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 -
Sharon F. Chen
Clinical Professor, Pediatrics - Infectious Diseases
Current Research and Scholarly InterestsMy interest is in viral infections affecting immunocompromised patients. As Co-director of Stanford Childrens' PIDPIC, I develop and conduct clinical studies to establish best practices and start new clinical initiatives that push the frontier.
My scholarly interests also extends to education research in how people think and make decisions. I am building an AI tool that humans can use as a partner to improve their critical thinking and problem-solving skills. -
Sijie Chen
Postdoctoral Scholar, Radiation Physics
BioI am a postdoctoral fellow working with Dr. Lei Xing at Stanford University, where I develop trustworthy autonomous AI agents and foundational informatics systems for single-cell biology. My long-term vision is to build auditable computational infrastructure and virtual cell models that transform massive single-cell atlases into reliable, steerable systems for mechanistic discovery across tissues, diseases, and species. My doctoral work with Prof. Xuegong Zhang established my foundation in single-cell bioinformatics and atlas-scale integration, which I have since extended into large-scale representation modeling, AI agent workflows, and LLM-driven scientific discovery. My current work focuses on developing governed, agentic lifecycles for continuous single-cell data curation and foundation model evaluation, while applying these autonomous systems to power cross-organ virtual cell retrieval and simulate immune-tolerance breakdown.
My ongoing efforts build directly upon my prior work in atlas integration and algorithmic development. As the first author of hECA (Chen et al., 2022), I built a unified human cell atlas integrating one million high-quality cells across 38 organs with a logic-expression query interface. This experience exposed the central bottlenecks—such as heterogeneous formats and ontology grounding—that I now address using LLM-powered agents to enable autonomous metadata harmonization and iterative quality control. I am converting manual curation into an autonomous, agent-driven paradigm where new datasets are continuously ingested and versioned in a traceable manner. Furthermore, my co-development of TorchGW for cell state alignment, TFcomb for perturbation prediction, and TransMap for cross-species alignment provides the algorithmic foundation for next-generation cell foundation models and virtual cell simulation.
By integrating these components into trustworthy, benchmarked, and human-in-the-loop AI infrastructure, my research bridges scalable scientific computing with complex biomedical questions. Through close collaboration with Prof. Edgar Engleman, I am utilizing immune-tolerance breakdown—specifically focusing on a tolerogenic dendritic cell program—as a mechanistic testbed to validate our virtual cell simulations. A core focus of my work is ensuring that every agent-generated hypothesis and retrieved state remains bound to the exact data and model checkpoints that produced it, making findings fully re-derivable as the biological knowledge base evolves. Ultimately, I aim to advance the frontier of trustworthy autonomous single-cell informatics, bridging AI agents, virtual cell engineering, and biological discovery. -
Tianqi Chen
Postdoctoral Scholar, Oncology
BioMy research interest lies in liquid biopsy and early cancer diagnostics, e.g. development of bioassay for detection of cancer biomarkers (proteins and genes) and single-cell research. As well as the integration of 3D-printed microfluidics.
