Stanford University
Showing 51-60 of 2,562 Results
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Yuheng (Rene) Cai
Postdoctoral Scholar, Otolaryngology - Head & Neck Surgery
BioDr. Yuheng Cai graduated from Shanghai Jiao Tong University with a bachelor's degree in Biomedical Engineering in Shanghai, China. She then received a master’s degree in Biomedical Research from Imperial College London in London, UK, with a concentration in Data Science. She received her PhD in Biomedical Engineering at University of North Carolina at Chapel Hill and North Carolina State University.
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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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Levi "Veevee" Cai
Affiliate, Oceans
BioVeevee is an incoming assistant professor, Fall 2027.
His research aims to develop autonomous systems through machine learning and robotics innovations to enable persistent and large-scale monitoring, conservation, and exploration of ocean ecosystems. -
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.
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Weidong Cai
Clinical Associate Professor, Psychiatry and Behavioral Sciences
BioMy research program investigates the neurobiological basis of cognitive dysfunction across the lifespan, focusing on two critical populations: children with neurodevelopmental disorders (e.g., ADHD) and elders with neurodegenerative conditions (e.g., Parkinson’s disease). By employing a highly interdisciplinary approach that integrates cognitive science, advanced functional neuroimaging, and computational modeling, I aim to delineate the neurocognitive processes governing both typical and atypical brain development and aging. The ultimate goal is to advance our understanding of the factors contributing to cognitive deficits and translate these findings into improved diagnostic tools and precision treatment strategies.
