School of Engineering
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Ricardo B Levy
Adjunct Professor, Chemical Engineering
BioRicardo Levy is an executive and entrepreneur whose career spans more than three decades of founding and building successful businesses. Born and raised in South America to a European immigrant family, he completed engineering studies in the United States at Stanford and Princeton before returning to South America to run a family business. In 1969 he sold the business and returned to the United States to complete his Ph.D. at Stanford in the field of catalytic chemistry. In 1974, after a number of years in the petroleum and petrochemical industry, he co-founded his first entrepreneurial venture, Catalytica, a research and development firm serving the chemical, pharmaceutical, and clean energy industries. The firm’s discoveries resulted in over one hundred patents and led to the formation of three companies, one of which became, under Levy’s leadership, the largest supplier to the pharmaceutical industry in North America and was sold to European firm DSM in 2000. He has served on several public and private Boards, is Lead Director of the Board of a private analytics software company, and serves on the Board of Aquarius Energy, Inc. From 2010 to 2016 served on the Advisory Board of the Santa Clara University Miller Center for Social Entrepreneurship, a global incubator of social entrepreneurs. He continues to be a mentor for that program. He is a Lecturer at the Stanford University Chemical Engineering Department, where he teaches a course on entrepreneurship, leadership and new venture creation. He is the author of the book “Letters to a Young Entrepreneur: Succeeding in Business Without Losing at Life – A Leader’s Ongoing Journey” published in 2015. Throughout his life, Dr. Levy has pursued a keen interest in spirituality and personal growth and his conviction that a person’s inner beliefs and purpose are deeply linked to business success. He has continually applied his diverse studies to his roles as a business leader, mentor and teacher.
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Adrian Lew
Professor of Mechanical Engineering
BioProf. Lew's interests lie in the broad area of computational solid mechanics. He is concerned with the fundamental design and mathematical analysis of material models and numerical algorithms.
Currently the group is focused on the design of algorithms to simulate hydraulic fracturing. To this end we work on algorithms for time-integration embedded or immersed boundary methods. -
Ethan Li
Ph.D. Student in Bioengineering, admitted Autumn 2018
Current Research and Scholarly InterestsMedical devices are crucial for equitable access to health care, but various obstacles in current modes of production result in barriers to access in low-resource settings. We will synthesize a practical toolkit for developing medical devices for low-resource settings in a distributed, cooperative, and open-source manner. We intend to introduce a new framework for large-scale development and implementation of appropriate open-source medical devices for global health equity.
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Fei-Fei Li
Sequoia Capital Professor, Denning Co-Director (On Leave) of Stanford HAI, Senior Fellow at HAI and Professor, by courtesy, of Operations, Information and Technology at the Graduate School of Business
On Partial Leave from 01/01/2024 To 12/31/2025Current Research and Scholarly InterestsAI, Machine Learning, Computer Vision, Robotics, AI+Healthcare, Human Vision
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Jiajin Li
Postdoctoral Scholar, Management Science and Engineering
BioI am a postdoctoral researcher in Department of Management Science and Engineering (MS&E) at Stanford University, hosted by Prof. Jose Blanchet. Previously, I received my Ph.D. degree in Department of Systems Engineering and Engineering Management from the Chinese University of Hong Kong (CUHK) in 2021, where I was fortunate to be advised by Prof. Anthony Man-Cho So.
My research lies in the intersection between optimization, applied probability, and machine learning.
More Information: https://gerrili1996.github.io/ -
Jinxin Li
Masters Student in Mechanical Engineering, admitted Autumn 2023
BioA graduate student purchasing Master of Science in Stanford University majoring in Mechanical Engineering.
My acdemic interests are Robotics and Control. -
Meijin Li
Masters Student in Electrical Engineering, admitted Autumn 2023
BioI'm Meijin Li, a software engineering and machine learning enthusiast, deeply engrossed in the real-world applications of AI+. I am presently pursuing a Master's degree in Electrical Engineering at Stanford University, specializing in the software system track.
I work at the intersection of machine learning, software, and cloud engineering in recent internship at Alibaba and project at Stanford, all about building AI traning or powered platform. I have a strong passion for real-world applications of AI+. I'm actively seeking software engineer opportunities.
During my undergraduate years, I was fortunate to work under the guidance of Prof. Zhiyang F. on multiple Reinforcement Learning and Computer Systems research projects. Additionally, I had the opportunity to further enhance my skills during my recent internship at Alibaba, with the expert mentorship of Mr. Qingnan Y. Here I was involved in developing an enterprise-level CI/CD/CT Web platform for Large Language Model training, deployment, and testing.
I am excited to leverage my skills and knowledge to drive advancements in this ever-evolving field and contribute to AI+ practical applications.