Stanford University
Showing 5,001-5,100 of 34,947 Results
-
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.
-
Tony Chen, MD
Clinical Assistant Professor, Urology
BioDr. Chen is a fellowship-trained urologist who specializes in male reproductive medicine. He is a clinical assistant professor in the Department of Urology at Stanford University School of Medicine.
Dr. Chen diagnoses and treats male infertility, erectile dysfunction, Peyronie’s Disease, Benign Prostatic Hyperplasia (BPH), hypogonadism, orchalgia, and other disorders of the male genitourinary tract. He emphasizes getting to know the whole patient and utilizing a stepwise approach to treatment when appropriate. When surgery is required, he excels at scrotal surgery, minimally invasive prostate de-obstruction, penile implant placement, microsurgical vasectomy reversal, varicocele treatment, and surgical sperm retrieval.
For every patient, Dr. Chen develops a personalized care plan emphasizing innovation, safety, and compassion.
Dr. Chen has published his research findings in journals including Urology Practice, the Journal of Sexual Medicine, Endocrine, the Journal of Pediatric Urology, Journal of Endourology, and elsewhere. Topics have included the association between mortality and male infertility, the association of the COVID-19 pandemic on male sexual function, national trends in vasectomy, and more. He co-wrote the chapter “Simulation and Ureteroscopy” for the textbook Ureteroscopy.
Dr. Chen is also an innovator with an interest in bringing novel technologies to the field of benign Urology. He has a background in the use of simulation science in medical teaching as well as in prototype design. He has received grant funding to prepare robotic surgeons for acute operating room scenarios and holds a provisional patent on a system for automated urine assessment and monitoring in the hospital.
He has made presentations on male infertility and surgical simulation at meetings of the American Urological Association, American College of Surgeons, and Sexual Medicine Society.
Dr. Chen has won recognition for his research and clinical achievements. He has received awards from the Western Section of the American Urological Association, American College of Surgeons, Society of Urologic Prosthetic Surgeons, and Sexual Medicine Society of North America.
He is a member of the American Urological Association, American College of Surgeons, International Society for Sexual Medicine, American Society for Reproductive Medicine, and Western Section of the American Urological Society. -
Wenting Chen
Postdoctoral Scholar, Radiation Physics
BioI am currently a Postdoc Fellow in the Department of Radiation Oncology of Stanford University, advised by Prof. Lei Xing. Before joining Stanford, I obtained my Ph.D degree in the Department of Electrical Engineering, City University of Hong Kong, supervised by Prof. Yixuan YUAN, Prof. W.S Tommy Chow, and Prof. L.H. Leanne Chan. I visited Massachusetts General Hospital and Harvard Medical School, supervised by Prof. Xiang Li and Prof. Quanzheng Li. Before that, I received the B. Eng and M. Eng degree from College of Computer Science and Software Engineering in Shenzhen University of China in 2017 and 2020, supervised by Prof. Linlin Shen. From Dec. 2019 to Nov. 2020, I had interned in Tencent Jarvis Lab, supervised by Dr. Shuang Yu and Prof. Yefeng Zheng.
My research interests lie in vision-language model, multi-modal large language model, generative AI, computer vision and their applications on medical AI, with a focus on report generation, medical image synthesis, endoscopy super-resolution, retinal image segmentation, multi-modality diagnosis, etc. -
Xiangjun Chen
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioDr. Xiangjun Chen is a Postdoctoral Scholar in the Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford University. He earned his Ph.D. in Materials Science from UC San Diego, where he also completed a postdoctoral training prior to joining Stanford. His work focuses on engineering soft wearable systems for healthcare monitoring, AI-driven human-machine interfaces, and advanced actuators and sensors for soft robotics.
-
Xiaoke Chen
Associate Professor of Biology
Current Research and Scholarly InterestsOur goal is to understand how brain circuits mediate motivated behaviors and how maladaptive changes in these circuits cause mood disorders. To achieve this goal, we focus on studying the neural circuits for pain and addiction, as both trigger highly motivated behaviors, whereas, transitioning from acute to chronic pain or from recreational to compulsive drug use involves maladaptive changes of the underlying neuronal circuitry.
-
Yi-Ren Chen, MD, MPH, FAANS
Adjunct Clinical Assistant Professor, Neurosurgery
BioDr. Chen is a neurosurgeon and spine surgeon and Chief of Neurosurgery with Mercy Medical Group, Sacramento County, CA, as well as an Adjunct Clinical Assistant Professor of Neurosurgery at Stanford University. After double majoring in biology and history at Stanford, he obtained his MD from Stanford and MPH from Johns Hopkins. He subsequently completed neurosurgery residency and complex spine fellowship at Stanford. Dr. Chen has over 150 peer-reviewed papers, book chapters, talks, and abstracts. He serves the greater Sacramento area and beyond.
Clinical interests:
Minimally invasive spine, scoliosis and deformity, redo/ revision spinal surgery, complex spine, general neurosurgery
Administrative Appointments:
Chief of Neurosurgery, Mercy Medical Group/ Dignity Health Sacramento, Sacramento County, CA
Director (North)/ Board of Directors, California Association of Neurological Surgeons (CANS)
Professional Education:
Undergraduate: Stanford University (BA/ BS)
Medical School: Stanford University (MD)
Masters: Johns Hopkins (MPH)
Residency: Stanford University (Neurosurgery)
Fellowship: Stanford University (Minimally Invasive and Complex Deformity Spine)
Fellowship: San Diego Spine Foundation (Visiting Fellow in Minimally Invasive Spine)
Board Certification: American Board of Neurological Surgery, Neurosurgery
Research interests:
Clinical outcomes research on spine patients utilizing both large-scale nationwide databases and single-center patient information, focusing on improving quality of care, patient satisfaction, and hospital-wide outcomes. -
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.
-
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.
-
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.
-
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.
