Stanford University
Showing 6,301-6,350 of 12,519 Results
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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. -
Mike Lin
Director for Advancing Energy Ecopreneurship, Precourt Institute for Energy
Biohttps://www.linkedin.com/in/michaeltlin/
Mike Lin is an investor, engineer, and serial entrepreneur with over 20 years of experience in design thinking, startups, and venture capital. Mike is a Lecturer at Stanford's Doerr School of Sustainability, where he teaches SUST 234: Integrative Design and Entrepreneurship for Sustainability.
Mike is also co-founder and General Partner at Dangerous Ventures. Dangerous invests in early-stage startups building a more sustainable and resilient future. Dangerous focuses on scalable systems-transforming solutions that empower people, the planet, and society to be more resilient and thrive in a rapidly changing environment.
Prior to working in venture capital, he was Founder and CEO of Fenix International, a renewable energy and fintech startup that currently powers over 15.5 million people across nine countries. He raised over $45M in venture capital and venture debt, developed patented energy technologies, and forged strategic partnerships with Google and the world’s largest mobile telecoms, including Vodafone, Orange, and MTN, to deliver life-changing energy to frontier markets. Fenix grew to over 350 employees and was successfully acquired in April 2018 by Engie, one of the world’s largest utilities.
Mike believes that business can be a vehicle for positive change, combining his passion for social and environmental prosperity with design thinking, business strategy, and new product development. He is a serial entrepreneur and worked at Makani Power (acquired by Google) and Squid Labs, a startup studio (Instructables, acquired by Autodesk). He has worked with Apple on climate change and environmental technologies, Al Gore on the “Inconvenient Truth” presentation, and lectured on green design and entrepreneurship at Stanford and Yale.
Mike has six patents, has received over $1.7M in grants from the US Environmental Protection Agency and UK Government, awards from the Rockefeller Foundation, Aspen Institute, BusinessWeek, and Popular Science, and has been featured in The New York Times, Bloomberg, Forbes, Wired, The Guardian, and others. Mike earned an MS and BS in Mechanical Engineering from Stanford University.
He is an Eagle Scout, a champion Junior Olympic Archer, and co-founder of the Stanford University Archery team. He enjoys spending time with his family outdoors, mountain biking, growing food, and cooking over an open fire. -
Ming-Fu Lin (林明甫)
Lead Scientist, LCLS - Linac Coherent Light Source
Current Role at StanfordI am interested in ultrafast sciences (using X-ray, electron diffraction and transient absorption spectroscopy to study ultrafast dynamics of molecules in gas, liquid and materials).
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Sean YT Lin, DVM, MPH
Biostatistician 2, Ophthalmology Research/Clinical Trials
Data Scientist, Ophthalmology Research/Clinical TrialsBioSean Lin is a Data Scientist within the Department of Ophthalmology. In this role, he focuses on applying advanced computational methods—including machine learning, deep learning, and biostatistics —to diverse, real-world health data. He has experience analyzing large-scale structured and unstructured datasets, such as electronic medical records (EMR/EHR) , insurance claims, and clinical text.
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Yu Lin
Staff Scientist, Energy Sciences
BioDr. Lin is a staff scientist at SLAC National Accelerator Laboratory and a PI at the Stanford Institute for Materials and Energy Sciences (SIMES) at SLAC. Her research centers on utilizing a suite of in situ probes, particularly X-ray tools, to understand the behavior of complex materials under extreme conditions. These materials find applications in a wide range of technologies essential for a sustainable energy future. Recently, integrating artificial intelligence tools has become one of her new research endeavors, further advancing the study.
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Malene Lindholm
Sr. Research Engineer, Medicine - Med/Cardiovascular Medicine
Current Research and Scholarly InterestsInterested in the genetics of human performance and the multi-omic response to exercise and training for optimizing human health.
