Stanford University
Showing 5,051-5,100 of 34,952 Results
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Yinghan Chen
Undergraduate, Computer Science
BioI am currently working with The Movement Lab (TML) at the Department of Computer Science, advised by Dr. Karen Liu.
My research lies at the intersection of robot learning, physics-based simulation, grasping and manipulation, and multimodal perception. I am broadly interested in enabling embodied agents to understand physical structures, reason about dynamics, and perform dexterous manipulation through integrated multimodal sensing. My recent work spans visual–tactile sensing and learning, dexterous manipulation, tool-use and design, and differentiable simulation. I have published or submitted papers to top venues in robotics and embodied AI including RA-L, IROS and CoRL, and I hope to continue probing the deeper principles underlying intelligent robotic systems!
My long-term goal is to develop general-purpose robotic intelligence capable of perceiving, planning, and acting in the physical world with human-level adaptability and finesse, ultimately enabling robots to assist humans in everyday, unstructured environments.
For more details, please visit: www.yinghanchen.com -
Yiyun Chen
Postdoctoral Scholar, Stanford Cancer Institute
BioYiyun Chen is a computational cancer immunologist whose interdisciplinary training spans structural biology, computational genomics, and cancer immunotherapy. During her doctoral training at HKUST, she developed multi-omic frameworks to decode the molecular landscape of brain tumors, gastric cancer, and B cell lymphoma — including the discovery of a tumor-associated monocyte population in the glioma microenvironment that drives mesenchymal transformation through the FOSL2-EREG/AREG-EGFR signaling axis.
As a postdoctoral fellow in the Crystal Mackall Laboratory at Stanford Cancer Institute, she extended this focus to the co-evolution of glioma and the immune system during CAR T cell therapy, uncovering multiple mechanisms of acquired resistance: anti-CAR humoral and cellular immunity, proinflammatory-to-immunosuppressive phenotypic shifts in macrophages, and tumor antigen escape. Her future research program will build an AI-powered platform that integrates longitudinal single-cell and spatial transcriptomics to model tumor-immune co-evolution in silico — constructing patient-level digital twins that simulate treatment trajectories, predict resistance, and identify real-time monitoring biomarkers. -
Yunwei Chen
Postdoctoral Scholar, Economics
BioYunwei Chen is a Postdoctoral Scholar at Stanford University, affiliated with the Stanford Center on China's Economy and Institutions at the Freeman Spogli Institute for International Studies. She is also a Postdoctoral Fellow with the Stanford Impact Labs and a Global Health Postdoctoral Affiliate with the Stanford Center for Innovation in Global Health.
Her academic training is in global health economics. Prior to joining Stanford, she earned a PhD in Health Policy and Management (Economics Track) from the Gillings School of Global Public Health at the University of North Carolina at Chapel Hill in 2024.
Her research explores innovative solutions for effective delivery of public health interventions in resource-limited settings through rigorous experimental and quasi-experimental designs. Her current research agenda is centered on integrating digital health technologies to develop comprehensive and tailored interventions for children and mothers living in resource-limited settings during crucial developmental stages, aiming for both effectiveness and scalability. -
Zheng Chen, OD
Clinical Assistant Professor, Ophthalmology
BioDr. Chen is an optometrist with the Byers Eye Institute and a clinical assistant professor in the Department of Ophthalmology at Stanford University School of Medicine.
Dr. Chen diagnoses and treats a range of eye conditions, including refractive errors, glaucoma, cataracts, and diabetic retinopathy. Her clinical experience is in routine and emergency eye care, pre- and post-surgical eye care, and medical management of eye diseases. She delivers patient-focused care, quickly establishing rapport and working effectively with pediatric, geriatric, and culturally diverse populations.
Dr. Chen is a member of Beta Sigma Kappa, an international optometric honor society. -
Zhenlin Chen
Research Asst - Graduate, Brandt Program
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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Grace A Cheney
Clinical Assistant Professor, Psychiatry and Behavioral Sciences
BioGrace Cheney, M.D. specializes in the assessment and treatment of ADHD across the lifespan. She serves as Director of the Adult ADHD Assessment Clinic at Stanford, which provides structured, developmentally informed evaluations for adults with attention and executive function challenges. Rooted in a neurodiversity-affirming framework, the clinic focuses on diagnostic clarity to support tailored, evidence-based care. As part of this model, the clinic incorporates the California ADHD Symptom Tracking (CAST) initiative, a semi-structured symptom-tracking method that fosters patient insight, supports individualized treatment planning, and promotes adherence. Through continued collaboration with Dr. Aaron Winkler, creator of CAST and the clinic’s founding director, Dr. Cheney is advancing the use of CAST to strengthen the quality of ADHD assessment and care worldwide.
With subspecialty training in both child and adolescent psychiatry and forensic psychiatry, Dr. Cheney’s diagnostic lens emphasizes precision and developmental context. She has particular expertise in the assessment of ADHD in women, transitional-age youth, and high-functioning professionals. Her treatment approach is comprehensive, and emphasizes establishing foundational non-pharmacological strategies in addition to pharmacological interventions.
Dr. Cheney lectures in the Forensic Psychiatry Fellowship on civil and child forensic topics, and she also supervises psychiatry residents and fellows in adult ADHD assessment. Her emerging areas of interest include the ethical use of AI to maintain therapeutic momentum and accelerate growth between visits, while enriching clinical decision-making with dynamic data that supports more personalized, precise, and adaptive therapy. -
Alan G. Cheng, MD
Edward C. and Amy H. Sewall Professor in the School of Medicine, Professor of Otolaryngology - Head & Neck Surgery (OHNS) and, by courtesy, of Pediatrics
Current Research and Scholarly InterestsActive Wnt signaling maintains somatic stem cells in many organ systems. Using Wnt target genes as markers, we have characterized distinct cell populations with stem cell behavior in the inner ear, an organ thought to be terminally differentiated. Ongoing work focuses on delineating the developing significance of these putative stem/progenitor cells and their behavior after damage.
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Bo Wun Cheng
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
BioBo-Wun Cheng is an EE Ph.D. student at Stanford University supervised by Prof. Priyanka Raina. He received his B.S. and M.S. degrees in Computer Science from National Tsing Hua University (Taiwan) in 2021 and 2023, respectively. His current research interest resides in designing and architecting efficient hardware accelerators. Before joining Stanford, his research spans the fields of Graphics Processing Unit memory architecture design and computer vision.
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Dali Cheng
Ph.D. Student in Electrical Engineering, admitted Autumn 2021
Current Research and Scholarly InterestsA light chaser studying photonics both theoretically and experimentally. I am devoted to understanding and improving our world using photonic science and engineering.
My current interest includes photonic systems with nontrivial topology, non-Hermiticity, non-Abelian gauge fields, and in the synthetic dimension.
