Stanford University
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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
