School of Engineering
Showing 651-700 of 6,463 Results
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Zev Bryant
Associate Professor of Bioengineering and, by courtesy, of Structural Biology
Current Research and Scholarly InterestsMolecular motors lie at the heart of biological processes from DNA replication to vesicle transport. My laboratory seeks to understand the physical mechanisms by which these nanoscale machines convert chemical energy into mechanical work.
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Vivek P. Buch, MD
Assistant Professor of Neurosurgery and, by courtesy, of Bioengineering
BioDr. Buch is a neurosurgeon with fellowship training in epilepsy, functional, and minimally invasive neurosurgery. He is an Assistant Professor of Neurosurgery, and Christina and Hamid Moghadam Faculty Scholar at Stanford University.
Dr. Buch focuses his expertise on the open and minimally invasive treatment of epilepsy, low grade brain tumors, movement and neuropsychiatric disorders, facial and body pain syndromes, and other complex neurological conditions. He uses advanced and innovative techniques to treat both adult and pediatric patients. For each patient, he develops a personalized care plan that is designed to be both comprehensive and compassionate.
Dr. Buch has conducted extensive research. His career goal is to develop restorative bioengineering approaches for complex neurocognitive, neurodevelopmental, and neuropsychiatric disorders. He is creating network-neuroprosthetics and precision molecular therapies to restore abnormal brain circuit function in these vulnerable patient populations. He is further pioneering novel intraoperative technologies including personalized network-based targeting, holographic mixed reality, and artificial intelligence platforms for minimally invasive cranial surgery.
He has co-authored articles on his research discoveries in Science, Nature, Nature Medicine, Neuron, Brain, Annals of Surgery, Frontiers in Neuroscience, Epilepsia, Brain Stimulation, Stereotactic and Functional Neurosurgery, Surgical Innovation, Frontiers in Surgery, Journal of Neurosurgery, and many other journals. Articles focus on developing novel network control theory applications to human brain functions and new techniques and technologies to enhance neurosurgical effectiveness and patient outcomes.
He is the Section Editor for NEUROSURGERY, and a guest editor for Surgical Innovation and Brain Sciences. He also has co-authored chapters in the books Neurosurgical Atlas, Operative Techniques in Epilepsy Surgery, Deep Brain Stimulation, and The Encyclopedia of Medical Robotics.
Dr. Buch has presented the findings of his research at the national conferences of numerous professional associations. Among them are the American Association of Neurological Surgeons, Society for Neuroscience, Congress of Neurological Surgeons, and Society for Imaging Informatics in Medicine. Topics include understanding network mechanisms of cognitive control and advances in the use of augmented reality technology to enhance neurosurgical approaches.
For his clinical, research, and academic achievements. Dr. Buch has earned many honors. He has won awards from the American Association of Neurological Surgeons, American Roentgen Ray Society, Congress of Neurological Surgeons, and National Institutes of Health.
Dr. Buch is a member of the American Association of Neurological Surgeons, Congress of Neurological Surgeons, World Society for Stereotactic and Functional Neurosurgery, American Association of Stereotactic and Functional Neurosurgery, and Alpha Omega Alpha Medical Honor Society.
He holds patents on such topics as artificial intelligence systems designed to help guide surgery and neural control signals for behavioral modification and closed-loop stimulation therapy.
Essential tremor patient story: https://www.youtube.com/watch?v=fV6BzyU9b3c
Parkinson's disease patient story: https://www.youtube.com/watch?v=vAKP7SRKs08
Epilepsy patient story: https://www.youtube.com/watch?v=HXy-gXg0t94&t=3s
Deep brain stimulation treatment: https://www.youtube.com/watch?v=xLgEcb447gA&t=1s
Laser interstitial thermal therapy treatment: https://www.youtube.com/watch?v=z-nRUMbs2kY&t=2s
MR-guided focused ultrasound treatment: https://www.youtube.com/watch?v=3Bwq2YxD9eU -
Kristin Burns
Design Group Manager, Mechanical Engineering - Design
Current Role at StanfordME Design Group Manager
Manager, Industry Affiliate Program for Teaching Design Thinking -
April Burrage
Provostial Fellow
BioApril Burrage, Ph.D. is a Provostial Fellow in the Management Science and Engineering department at Stanford University. Her research focuses on differences in entrepreneurial opportunities and the economics of innovation and science. She examines how institutions shape entrepreneurial possibilities and innovation for emerging tech entrepreneurs. Currently, her work explores the impact of innovation policies on tech entrepreneurship and the motivations of STEM professionals to commercialize their ideas. Supported by the National Science Foundation and the Sloan Foundation, Dr. Burrage's research has been featured in outlets such as Research Policy, Journal of Economics and Management Strategy, and Brookings Institution. Her research seeks to uncover the institutional factors that drive entrepreneurship and innovation, with the goal of informing policies and practices that promote a dynamic entrepreneurial ecosystem. Dr. Burrage earned her Ph.D. in Economics from the University of Massachusetts Amherst, her M.A. in Economics from Roosevelt University, and her B.S. in Marketing from North Carolina A&T State University.
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Thomas Byers
Entrepreneurship Professor in the School of Engineering
Current Research and Scholarly InterestsApplied ethics, responsible innovation, and global entrepreneurship education (see http://peak.stanford.edu).
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Xiangmeng (Shawn) Cai
Ph.D. Student in Bioengineering, admitted Summer 2022
BioI'm a Ph.D. student in bioengineering. My research interests include using engineering and computational methods to probe, measure, perturb, and predict chromosome organization and epigenetic dynamics.
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Wei Cai
Professor of Mechanical Engineering and, by courtesy, of Materials Science and Engineering
BioPredicting mechanical strength of materials through theory and simulations of defect microstructures across atomic, mesoscopic and continuum scales. Developing new atomistic simulation methods for long time-scale processes, such as crystal growth and self-assembly. Applying machine learning techniques to materials research. Modeling and experiments on the metallurgical processes in metal 3D printing. Understanding microstructure-property relationship in materials for stretchable electronics, such as carbon nanotube networks and semiconducting elastomers.
