Stanford University
Showing 1,301-1,400 of 2,768 Results
-
Zetian Li
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2024
Current Research and Scholarly InterestsStatistical Learning, Machine Learning, Bayesian Statistics, Probability Theory
-
Lei Li
Affiliate, Department of Geophysics - Beroza Program
Visiting Scholar, GeophysicsBioLei does research in induced seismicity monitoring associated with human-related activities. He is now a visiting scholar at the Department of Geophysics (till April 2025) and also an associate professor at Central South University.
-
Lingyin Li
Professor of Biochemistry
BioDr. Li is a professor in the Biochemistry Department and ChEM-H Institute at Stanford. She is also a core investigator of the Arc Institute. Her lab works on understanding biochemical mechanisms of the immunotransmitter cGAMP and harnessing it to treat cancer and autoimmunity. She majored in chemistry at University of Science and Technology of China and graduated with a B. En in 2003. She then trained with Dr. Laura Kiessling, a pioneer in chemical biology, at University of Wisconsin-Madison and graduated with a Ph.D in chemistry in 2010. She obtained her postdoctoral training with Dr. Timothy Mitchison at Harvard Medical School, who introduced her to the field of chemical immunology. She started her lab at Stanford in 2015.
-
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. -
Mengze Li
Postdoctoral Scholar, Earth System Science
Current Research and Scholarly Interestsatmospheric gases: trends and emissions, such as methane, volatile organic compounds.
atmospheric observations: ground, airborne, satellite remote sensing.
atmospheric measurement techniques.
atmospheric modeling.
indoor air chemistry and human emissions.
climate change. -
Minxing Li
Licensing and Strategic Alliances Manager, Office of Technology Licensing (OTL)
BioMinxing is a Licensing and Strategic Alliances Manager at Stanford OTL with a focus on life sciences technologies. Since she joined Stanford in 2020, she has been involved in protecting, marketing and licensing of Stanford's intellectual property. She is currently responsible for managing Stanford's alliances with the Parker Institute for Cancer Immunotherapy (PICI), where she works closely with investigators who are part of the PICI network and manages IP and licensing matters under the PICI relationship.
Prior to Stanford, Minxing worked as a consultant at IQVIA, Inc. -
Nina Li
Community Program Manager, Stanford CARE, Medicine - Med/Family and Community Medicine
Current Role at StanfordCommunity Program Manager, Stanford CARE
-
Qitong Li
Postdoctoral Scholar, Applied Physics
BioI am an experimental and applied physicist, focusing on extreme light-matter interaction at the nanoscale. I am currently working with Prof. Tony F. Heinz as a postdoctoral researcher in the Department of Applied Physics at Stanford University. Before my current position, I obtained my Ph.D. in Materials Science and Engineering from Stanford University in 2022 under the guidance of Prof. Mark L. Brongersma and my B.Sc. in Physics from Peking University in 2016.
My research concentrates on developing platforms with state-of-the-art tailored (optically resonant) nanostructures to achieve improved control over the photon-electron interaction at the nanoscale. This immediately allows us to create novel photonic and optoelectronic device concepts by coupling free-space lights into a series of well-engineered quantized optical modes and co-engineering electronic and optical components together. We therefore foresee a system-level revolution in industry enabled by nanotechnology. On the other hand, by providing a non-trivial and tunable optical, electrical, and mechanical nano-environment, this platform also fundamentally functions as a versatile tool and offers a new degree of freedom to better probe, study, and control various quantum properties and excitations in solids, especially those enhanced ones in low-dimensional materials. This will ultimately lead us to have a clearer understanding of unconventional phenomena in quantum materials and start to utilize them in a more controllable way. -
Ron Li
Clinical Associate Professor, Medicine
BioRon Li is a Clinical Associate Professor of Medicine in the Division of Hospital Medicine and Center for Biomedical Informatics Research at Stanford University School of Medicine. As the Medical Informatics Director for Digital Health at Stanford Health Care, he provides medical and informatics direction for the health system's enterprise digital health portfolio, including expanding digital referral networks and virtual care modalities. He is the co-founder and Director for the Stanford Emerging Applications Lab (SEAL), which helps clinicians and staff build ideas into novel digital products that are prototyped and tested for care delivery at Stanford Health Care.
Ron's academic interests focus on the "delivery science" of new technological capabilities such as digital and artificial intelligence in healthcare and how to design, implement, and evaluate new tech enabled models of care delivery. Ron's work spans across multiple disciplines, including clinical medicine, data science, digital health, information technology, design thinking, process improvement, and implementation science. He has consulted for various companies in the digital health and artificial intelligence space. He is an attending physician on the inpatient medicine teaching service at Stanford Hospital and is the Associate Program Director for the Stanford Clinical Informatics Fellowship. -
Ruijiang Li
Associate Professor (Research) of Radiation Oncology (Radiation Physics)
Current Research and Scholarly InterestsMy lab's research is focused on the development of imaging and molecular biomarkers to improve cancer detection, diagnosis, prognostication, and prediction of therapy response. Our ultimate goal is to translate these biomarkers into clinical practice to guide optimal management and therapeutic decisions for precision cancer medicine.
-
Sally S. Li
Executive Director, Medicine - Med/Family and Community Medicine
Current Role at StanfordExecutive Director, Center for Asian Health Research and Education (CARE)
-
Joseph (Shoupei) Li
Graduate, Stanford Center for Professional Development
BioLearner and thinker in Artificial Intelligence, pushing the boundary of technology innovation for the good of the society.
-
Xiang Li
Associate Scientist, SLAC National Accelerator Laboratory
Current Role at StanfordAssociate Scientist, Linac Coherent Light Source
