Stanford University
Showing 7,201-7,300 of 14,477 Results
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Minxing Li
Senior Licensing and Strategic Alliances Manager, Life Sciences, 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
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Sally S. Li
Executive Director, Medicine - Med/Family and Community Medicine
Current Role at StanfordExecutive Director, Center for Asian Health Research and Education (CARE)
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Wei Li
Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)
BioDr. Wei Li is an AI executive and Stanford University Adjunct Professor operating at the intersection of AI strategy, Precision AI Governance, and enterprise scale. Wei works on Innovation to Impact (I2I) and Trusted AI—turning computational, AI, and interdisciplinary ideas into deployable systems, scalable products, and measurable business and clinical outcomes.
Currently, Wei collaborates across Stanford’s Schools of Engineering and Medicine, focusing on the deployment of AI in high-stakes environments where technical capability must meet rigorous standards for safety, ethics, and human-centric design.
Previously, as VP/GM of AI & Analytics (AIA) at Intel, Wei led global teams building full-stack AI platforms that generated multi-billion-dollar revenues. His commitment to industry-wide oversight is reflected in his prior governance leadership on the boards of the PyTorch Foundation and Linux Foundation AI & Data, where he championed collaboration alongside leaders from Meta, OpenAI, Google, and Microsoft.
A sought-after keynote speaker at Harvard Business School, Fortune, and the World AI Summit, Wei is a frequent contributor to outlets like Bloomberg on matters of AI strategy and enterprise risk management.
He holds a Ph.D. in Computer Science from Cornell University and completed an executive program at the Stanford Graduate School of Business. -
Xiang Li
Associate Scientist, SLAC National Accelerator Laboratory
BioI am a scientist in the AMO Sciences Department and Data Systems Division at the LCLS. Investigating the ultrafast processes in atoms and molecules with charged-particle spectroscopy at x-ray free-electron lasers is the major theme of my research. It consists of three interconnected endeavors. One is to understand the material response to ultra-intense x-rays at the atomic level, and another is to exploit such x-rays as the probe for unraveling photo-induced molecular dynamics. And the third is to develop machine learning algorithms for solving some of the bottleneck problems in our field. I am involved in the design, assembly, and operation of experimental endstations at the AMO beamline of the LCLS, as well as the software development for AMO experiments performed at free-electron laser facilities.
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Dong Liang
Instructional Designer Dvlpr 2, IT Services
BioMy background gives me a unique perspective on the question of learning design. I have formal education in both computer science and humanities, which means I am not only trained to understand how technologies work, but also have strong research and writing skills. Years of reading and writing argumentative essays makes me fluent at the art of communicating complex ideas. I have extensive classroom teaching experience, which gives me a big advantage when approaching the problem of instructional design because I learned how to create e-learning courses from brick-and-mortar experiences. Finally, my passion for education technology drives me toward using innovative tools to create engaging, immersive learning experiences, within or without a classroom.
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Jiahao Liang
Ph.D. Student in Molecular and Cellular Physiology, admitted Autumn 2020
OTL Intern, Office of Technology Licensing (OTL)BioI'm currently a 6th-year Ph.D. student in Molecular & Cellular Physiology and an intern at the Office of Technology Licensing. I study how the spatial organization and structural conformation of synaptic proteins regulate synaptic transmission.
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Mengning Liang
Lead Scientist, SLAC National Accelerator Laboratory
Current Role at StanfordMy role at LCLS at SLAC is SRD Deputy Director for Strategic Development - I aid management to develop FEL science sustainably and to increase the impact of FEL science in the broader scientific community.
Coherent X-ray Imaging (CXI) Instrument lead - Lead one of the scientific instruments at LCLS. CXI is a hard X-ray, in-vacuum instrument which specialized in low signal to noise experiments due to a vacuum sample environment and high X-ray power measurements due to a nanofocus beam which can provide X-ray power up to 10^20W/cm^2
LCLS-II-HE CXI upgrade science lead. LCLS-II-HE is an upgrade of the LCLS X-ray Free Electron Laser which will take the repetition rate from 120Hz to 1MHz. The CXI instrument will undergo a complete upgrade to maximally utilize this unprecedented new source. -
Ryan Lieu
Preservation Librarian, Preservation
Current Role at StanfordI manage a team of library specialists who assess, repair, rehouse, and prepare physical library collections for use in classes, research, exhibitions, and digital projects. I also monitor environmental conditions in collection storage areas, administer an integrated pest management program, provide library preservation training, and keep us prepared for collection emergencies throughout Stanford University Libraries.
Beyond Stanford, I collaborate with preservation professionals and informatics specialists around the world to assess practical concerns regarding standards and technology, and I publish research aimed at establishing shared methodologies for the creation of preservation data and metadata in libraries and museums. -
Arik Lifschitz
Student Service Officer 4, Academic Advising Operations
Current Role at StanfordLead Undergraduate Advising Director
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Leticia Liggett
Industrial Contracts Officer-Floater, Office of Technology Licensing (OTL)
BioLeticia is an Industrial Contracts Officer in Stanford’s Office of Technology Licensing. Before joining Stanford, Leticia was a Research Contract Officer at Indiana University and a Conflict of Interest Analyst at the University of Arizona. She has also practiced as a legal aid attorney. Prior to practicing law, she was an instructor of college writing and literature courses.
Education
Ph.D., Indiana University, Bloomington, English Literature
J.D./LL.M. (Intellectual Property), University of New Hampshire Franklin Pierce School of Law
M.A., Butler University, Literature
B.A., DePauw University, English Literature -
Joanna E. Liliental, PhD
Director, TRAM, M-TRAM, TASC, Med/TRAM
Current Role at StanfordExecutive Director, Master's in TRAM (M-TRAM)
https://med.stanford.edu/tram/masters-program.html
Director, Translational Applications Service Center (TASC)
http://tasc.stanford.edu
Associate Director, Translational Research and Applied Medicine (TRAM) Program
http://tram.stanford.edu
Senior Research Scientist, Stanford School of Medicine
Instructor of University Courses: MED221,MED121, MED212A
Member, Stanford Cancer Institute -
Erik Limpitlaw
Digital Collections Licensing Librarian, Acquisitions Department
Current Role at StanfordMy primary responsibility of the Digital Collections Licensing Librarian is to review and negotiate e-resource licenses and related documents on behalf of Stanford University Libraries (SUL) with publishers, resource aggregators, data sources and other service providers. I primarily work on the negotiation of document terms but am often brought into pricing negotiations with vendors as well as work with vendors in creating terms which have not historically worked with academia.
I work to ensure that the terms of these agreements meet SUL and Stanford University’s policies and requirements, that their terms of use are consistent with the needs of Stanford faculty, students, and staff, and that the cost meets SUL’s funding capabilities and is the best available negotiated price.
I also recommend to Associate University Librarians (AUL) for Collections, the Deputy University Librarian and/or the University Librarian whether a proposed license is acceptable and whether there are any issues and risks to consider. I am currently reviewing distinguishing terms across licensing various e-resources such as datasets and streaming media and improving internal document and licensing workflows.
I also serve, as needed and as appropriate, on SUL committees or other groups addressing Stanford’s e-resource needs, planning, and evaluation. I also serve as the liaison for e-resource matters to the relevant counterparts in Stanford’s Coordinate Libraries (Crown Law, Lane Medical, and Graduate School of Business). -
Eric Lin
Clinical Assistant Professor (Affiliated), Psych/General Psychiatry and Psychology (Adult)
Staff, Psychiatry and Behavioral SciencesBioEric Lin, MD, is a Clinical Assistant Professor (Affiliated) of Psychiatry and Behavioral Sciences at Stanford University School of Medicine and an addiction psychiatrist at VA Palo Alto. His academic work focuses on artificial intelligence, large language models, machine learning, and psychiatry, with particular interest in the clinical evaluation, safety, and governance of AI systems used in mental health care and related psychological contexts.
Dr. Lin studies how AI systems should be assessed when they interact with patients, clinicians, or psychologically vulnerable users. His work addresses the limitations of benchmark-driven evaluation and the need for clinically meaningful approaches to AI evaluation that incorporate psychiatric expertise, real-world clinical complexity, and post-deployment risk. His broader interests include psychopathology, personality assessment, psychoanalytic and psychodynamic models of mind, and the translation of complex clinical judgment into rigorous evaluation frameworks for emerging technologies.
Dr. Lin completed psychiatry residency at Yale University, where he trained in the Neuroscience Research Training Program, and later completed a medical informatics fellowship through VA Boston, with research at Harvard Medical School/McLean Hospital on computational and digital approaches to psychiatric phenotyping. He is board certified in psychiatry and clinical informatics. His clinical and teaching work in addiction psychiatry grounds his interest in psychiatric complexity, risk assessment, care navigation, and pragmatic implementation of AI tools in health care. He is interested in collaborations across psychiatry, computer science, human-centered AI, health policy, digital mental health, and responsible technology development.
