School of Engineering
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Yunzhi Peter Yang
Professor of Orthopaedic Surgery and, by courtesy, of Materials Science and Engineering and of Bioengineering
Current Research and Scholarly InterestsYang lab's research interests are in the areas of bio-inspired biomaterials, medical devices, and 3D printing approaches for re-creating a suitable microenvironment for cell growth and tissue regeneration for musculoskeletal disease diagnosis and treatment, including multiple tissue healing such as rotator cuff injury, orthopedic diseases such as osteoporosis and osteonecrosis, and orthopedic traumas such as massive bone and muscle injuries.
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Adrian Yao
Ph.D. Student in Materials Science and Engineering, admitted Autumn 2023
Masters Student in Materials Science and Engineering, admitted Autumn 2022BioAdrian is the Founder and Team Lead of STEER which is focused on guiding “What to build” for the energy transition. STEER is a DOE-funded program that is a partnership between the SLAC-Stanford Battery Center and the Precourt Institute for Energy. The mission of STEER is to critically evaluate the techno-economics of emerging energy technologies with a technology-centric focus bridging supply- and demand-side insights to guide strategic investments, research directions, and policy agendas.
Prior to Stanford, Adrian spent 8 years in industry as the co-founder and CTO of a Li-ion battery startup, EnPower, Inc., which is now scaling a ~1 GWh/y cell manufacturing plant in Indianapolis, IN, spearheading the domestic production of advanced Li-ion cells. Adrian obtained his B.S. in Material Science & Engineering from Rice University in Houston, TX. -
Yinyu Ye
Kwoh-Ting Li Professor in the School of Engineering, Emeritus
Current Research and Scholarly InterestsMy current research interests include Continuous and Discrete Optimization, Algorithm Development and Analyses, Algorithmic Game/Market Theory and Mechanism-Design, Markov Decision Process and Reinforcement Learning, Dynamic/Online Optimization and Resource Allocation, and Stochastic and Robust Decision Making. These areas have been the unique and core disciplines of MS&E, and extended to new application areas in AI, Machine Learning, Data Science, and Business Analytics.
