Stanford University
Showing 5,001-5,050 of 34,835 Results
-
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.
