Stanford University
Showing 1,901-2,000 of 2,578 Results
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Dr Kelvin Liu
Research Scientist, Center for Sustainable Development and Global Competitiveness
BioDr. Kelvin Liu is a Research Scientist at Stanford University. He holds a Ph.D. in Engineering from the University of Cambridge and completed his postdoctoral research at the University of Chinese Academy of Sciences. He also obtained dual master’s degrees from the University of Cambridge and Johns Hopkins University. Dr. Liu has previously served as an Industrial Associate at the Institute for Manufacturing, University of Cambridge. He has also served as a Partner Expert with the United Nations Industrial Development Organization (UNIDO), a lecturer in UNIDO’s Eco-Design Leadership Program.
Dr. Kelvin Liu has led and participated in over 15 major research projects funded by the European Union, the UK’s Engineering and Physical Sciences Research Council (EPSRC). His research spans artificial intelligence, technology innovation, strategic management, and industrial sustainability. He has published more than 20 papers in SCI/SSCI-indexed journals, holds three invention patents, serves as a reviewer for multiple international journals, and has delivered over 20 invited talks at international conferences and university seminars. -
Wendy Liu, MD, PhD
Assistant Professor of Ophthalmology
Current Research and Scholarly InterestsDr. Liu's research interests include the role of mechanosensation in the eye as it relates to the pathophysiology of glaucoma, with the goal of finding new druggable targets in glaucoma treatment.
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William Z Liu
Undergraduate, Computer Science
Undergraduate, MathematicsBioFrom Bellevue, WA.
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Xin Liu
Basic Life Science Research Scientist, Genetics
BioXin Liu is a postdoctoral Research Scientist in the Department of Genetics at Stanford University. Xin holds a PhD in Chemistry from the University of Michigan, Ann Arbor. Her basic research interests include RNA and protein biochemistry, enzymology, cancer immunology, and autoimmune disease. She has published papers in several prestigious journals in the field of biochemistry, including Nature Communications, Journal of American Chemical Society, and Nucleic Acids Research. The highlight of her multidisciplinary research includes the development of high-throughput enzymatic methods to discover anti-microbial agents and to reveal mechanisms behind human mitochondrial diseases, as well as innovative applications of genome engineering and machine-learning to decode principles of RNA editing in human cells. Her current research focuses on the mechanistic study of innate immune pathways.
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Xinuo Liu
Affiliate, Archaeology
Visiting Scholar, ArchaeologyBioXinuo Liu is an Associate Professor in China and a Visiting Scholar in Archaeology at Stanford University. His research focuses on the archaeology of the Southern Silk Road, numismatics, and frontier governance in ancient China, with a comparative perspective across South Asia, Southeast Asia, Central Asia, and the Himalayan region. He bridges the fields of archaeology, cultural history, and heritage education, and is committed to making cultural knowledge accessible through museums and public engagement. Liu is a member of the International Council of Museums (ICOM), the American Numismatic Society (ANS), and the Chinese Society for the History of Sino-Foreign Relations.
He is the author of works on the Southern Silk Road and Chinese numismatics, and he seeks to foster cross-cultural dialogue through academic and public platforms. In addition to his scholarly work, he is actively engaged in social service, philanthropic initiatives, and alumni leadership networks, promoting the integration of cultural heritage with community development. -
Y. Lucy Liu, MD, PhD
Senior Research Scientist, Pediatrics - Hematology/Oncology
Current Role at StanfordSenior Research Scientist
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Yan Liu
Staff Engineer, SLAC National Accelerator Laboratory
Current Role at StanfordStaff Engineer, SLAC National Accelerator Laboratory
CryoEM Specialist, Stanford-SLAC CryoEM Center -
Yang Merik Liu
Postdoctoral Scholar, Psychiatry
BioDr. Yang Merik Liu is currently a postdoctoral scholar (and an incoming Instructor) with the Department of Psychiatry and Behavioral Sciences, Stanford University, and is affiliated with the Center for Machine Vision and Signal Analysis, University of Oulu, Finland. He is a Co-I of the NIH/NIA R33 Grant, and was a PI of the North Ostrobothnia Regional Fund of the Finnish Cultural Foundation and the Instrumentarium Science Foundation, carrying out research on digital measures with affective intelligence. Dr. Liu coordinated and managed "AI Forum" and "ICT 2023 TrustFace" projects during his postdoctoral research in University of Oulu since Jan. 2022, led by Academy Professor Guoying Zhao, member of Academia Europaea, member of the Finnish Academy of Sciences and Letters, IEEE/IAPR/ELLIS Fellow. He was also a former researcher with the Haaga-Helia University of Applied Sciences, in 2023, and was a visiting scholar with Hong Kong Baptist University (Prof. Pong Chi Yuen) and University of Cambridge (Prof. Hatice Gunes), in 2023 and 2024, respectively. Dr. Liu has published more than 40 papers in reputable journals and proceedings. He served as the Session Chair of IEEE FG 2025, the Track Chair of IEEE COINS 2026, the Guest Associate Editor of Frontiers in Psychology and Frontiers in Human Neurosciences, and organized tutorials and workshops in international conferences, i.e., HHAI 2024 and IEEE FG 2025. Dr. Liu was an Assistant Lecturer of the "Affective Computing" course in University of Oulu, in 2023. He mentored junior doctoral researchers and co-supervised post-/undergraduate students. His research interests include affective computing, cognitive computation for cross-species behavioral, and AI for aging medicine.
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Yongkai Liu
Instructor, Radiology
BioDr. Yongkai Liu is an instructor in the Department of Radiology, Division of Neuroimaging and Neurointervention at Stanford University. His research focuses on developing and evaluating advanced techniques to improve treatment decision-making and prognostication in brain diseases—particularly stroke—using imaging and deep learning. Dr. Liu is a recipient of the prestigious K99/R00 award for his work on integrating large language models with imaging-based deep learning for stroke outcome prediction.
Prior to joining Stanford, Dr. Liu earned his Ph.D. in Physics and Biology in Medicine from UCLA under the mentorship of Prof. Kyung Sung. This rigorous training equipped him with a strong foundation in medicine, deep learning, and physics. His Ph.D. thesis, titled “Advancing Segmentation and Classification Methods in Magnetic Resonance Imaging via Artificial Intelligence,” focused on developing cutting-edge deep learning and machine learning techniques for MRI-based clinical applications. During his master’s studies, he conducted research on CT Virtual Colonoscopy under the guidance of Prof. Jerome Liang, an IEEE Fellow.
Dr. Liu has also made significant contributions to the academic community as a peer reviewer for leading journals, including The Lancet Digital Health, NPJ Digital Medicine, Medical Image Analysis, Medical Physics, Scientific Reports, British Journal of Radiology, BJR|Artificial Intelligence, Annals of Clinical and Translational Neurology, IEEE Transactions on Medical Imaging, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Radiation and Plasma Medical Sciences, IEEE Transactions on Biomedical Engineering, and IEEE Transactions on Neural Networks and Learning Systems.
Dr. Liu is an emerging leader in neuroimaging, stroke research, and artificial intelligence, earning widespread recognition for his work. His accolades include the K99/R00 Award, the AJNR Lucien Levy Award, the David M. Yousem Research Fellow Award, and being named a semi-finalist for the 2024 Cornelius G. Dyke Award, all of which underscore his potential to make significant contributions in the future (https://med.stanford.edu/rsl/news/yongkai-liu-receives-research-fellow-award.html). -
Yusong Liu
Staff Scientist, SLAC National Accelerator Laboratory
BioI am a Staff Scientist in the LCLS Chemical Sciences Department at SLAC National Accelerator Laboratory. My research focuses on the excited-state dynamics of small organic molecules, with a particular emphasis on employing novel experimental techniques to probe these processes in real time and space.
Because these dynamics typically occur on attosecond to picosecond timescales, the strongly coupled electronic and nuclear motions drive ultrafast energy redistribution and structural transformations, processes that underpin fundamental phenomena across physics, chemistry, and biology.
Building on my extensive background in ultrafast laser science and time-resolved spectroscopy, my current work involves developing multi-modal experiments that integrate spectroscopy and diffraction. My toolkit includes time-resolved valence and soft X-ray core-ionization spectroscopy, as well as ultrafast electron and hard X-ray diffraction. These studies are conducted primarily at the LCLS X-ray FEL, the MeV-UED facility at SLAC, and our tabletop laser laboratories at the Stanford PULSE Institute. -
Zhuo Liu
Postdoctoral Scholar, Earth and Planetary Sciences
BioZhuo Liu is a postdoctoral scholar at the Stanford Doerr School of Sustainability, sponsored by Mineral-X. His expertise is in multi-geophysical data interpretation with both traditional methods and machine-learning-based methods for critical mineral exploration.
Zhuo Liu earned his PhD degree in Geophysics, with a minor degree in Geology, from the Colorado School of Mines (CSM), USA. His doctoral and postdoctoral research focused on advancing geophysical data interpretation methods and incorporating geologic prior information into the interpretation process in machine-learning and geostatistical approaches for mineral resources exploration.
Previously, Zhuo earned his Bachelor's degree in Applied Geophysics from the Central South University, China, and a Master's degree in Geophysics from the Colorado School of Mines (CSM), USA. He also visited the University of Science and Technology of China (USTC) as a Student Visiting Scholar under the mentorship of Dr. Xinming Wu in 2021. -
Zhuoyang Liu
Ph.D. Student in Business Administration, admitted Autumn 2020
Current Research and Scholarly InterestsI am broadly interested in decision-making under information and asymmetry for environmental conservation and healthcare operations applications. I study how people can optimally incentives land conservation using a combination of contract theory modeling and data-driven analytics. I bring together classic economic models with stochastic queueing control methods to provide novel insights on wholistic capacity planning for healthcare systems.
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Amy Lo
Adjunct Clinical Associate Professor, Pathology
BioDr. Amy Lo is a pathologist with board certification in anatomic pathology, clinical pathology and molecular genetic pathology. She completed her MD and MS at the University of Illinois at Chicago and her residency in both anatomic and clinical pathology at Northwestern University. She then joined the faculty at Northwestern University as a Clinical Instructor and Advanced Gastrointestinal/Surgical Pathology Fellow. Amy then completed a molecular genetic pathology fellowship at Stanford University.
In 2016, Amy joined Genentech as research pathology scientist supporting drug research and development with a focus in oncology and individualized drug development.
Additionally, Amy continues clinical work as an Adjunct Clinical Associate Professor in pathology at Stanford University and Lucille Packard’s Children’s Hospital. -
Clara Lo
Clinical Professor, Pediatrics - Hematology & Oncology
Current Research and Scholarly InterestsResearch interests include:
Biomarkers and targeted therapy in pediatric immune thrombocytopenia
Transfusion-related iron overload
Hemophilia and other rare bleeding disorders
Thrombophilia -
Irene Lo
Assistant Professor of Management Science and Engineering
BioIrene is an assistant professor in Management Science & Engineering at Stanford University. Her research is on designing matching markets and assignment processes to improve market outcomes, with a focus on public sector applications and socially responsible operations research. She is also interested in mechanism design for social good and graph theory.
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Kenny Lo
Software Developer, SLAC National Accelerator Laboratory
BioI work as software developer to support scientific computing in SuperCDMS, LSST/Rubin, DESC, and other projects at SLAC.
My professional interests include web technologies, relational databases, machine learning, scientific computing, and dynamic programming in a HPC environment. -
Michelle Lo
Clinical Assistant Professor, Medicine
BioDr. Michelle Lo MD, FACP is a Clinical Assistant Professor in the Division of Hospital Medicine and Stanford School of Medicine. Growing up in Taiwan and in the Bay Area, she received her undergraduate degree in Molecular and Cellular Biology at University of California Berkeley, and her medical degree at David Geffen School of Medicine at UCLA. She then moved to NYU Grossman School of Medicine for her residency in Internal Medicine. She continued as Clinical Assistant Professor at NYU Grossman School of Medicine-Tisch Hospital from 2019-2020. After working in NYC during the COVID-19 pandemic, she returned to California to continue her career at Kaiser Permanente Santa Clara as a Hospitalist and affiliate Clinical Instructor at Stanford School of Medicine from 2020-2025, where she co-developed the Point of Care Ultrasound curriculum and was awarded the Hospitalist Teaching Award 3 years. She joined the Stanford School of Medicine Faculty in 2025. Her interests include medical education, curricular development, and use of Point-of-Care Ultrasound in the care of hospitalized patients.
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Nathan Lo
Assistant Professor of Medicine (Infectious Diseases) and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsOur research group is interested in studying the transmission of infectious diseases and impact of public health interventions with an ultimate goal of informing public health policy. We study a diverse set of pathogens, both domestically and internationally, including vaccine-preventable infections (including COVID-19) and neglected parasitic diseases (such as schistosomiasis). Our group applies diverse computational methodologies, including tools from fields of epidemiology, mathematical and statistical modeling, simulation, and policy analysis.
A large emphasis of our work is translating scientific evidence into public health policy. Our track record includes multiple studies that have changed policy in the fields of neglected parasitic diseases and COVID-19. We work closely with policy organizations like the World Health Organization and the California Department of Public Health. Nathan was the lead writer of the World Health Organization guidelines on schistosomiasis (2022) and strongyloidiasis (2024).
Our current research focuses on the following areas:
(1) Vaccine-preventable infectious diseases (including COVID-19 and measles) in the United States, with a focus on studying vaccines, transmission dynamics, and re-emergence of vaccine-eliminated diseases
(2) Public health strategies for control and elimination of globally important neglected infectious diseases, such as helminths infections (schistosomiasis, strongyloidiasis) and typhoid fever
Our current NIH funded projects include:
(1) Real-time predictive modeling for public health departments to control infectious diseases (DP2 AI170485, PI: Lo)
(2) Precision mapping of Schistosoma mansoni risk for targeted public health control and elimination (R01 AI179771, PI: Lo)
Hiring
We are seeking to fill multiple research positions at all levels. Candidates interested in working on computational public health research related to infectious diseases with a strong quantitative background are highly encouraged to apply. If you an interested, please submit a cover letter, CV, and names of two references to Nathan.Lo@stanford.edu. -
Keith Loague
Professor of Geological Sciences, Emeritus
Current Research and Scholarly InterestsRESEARCH (see PUBLICATIONS), 1980-2017
Process-based characterizations of surface & near-surface hydrologic response, based upon comprehensive field observations and sophisticated numerical simulations.
* Group Members (with degrees earned): John Griggs - PhD, Jennifer Kleveno - MS, Robert Miyahira - MS, Ephraim Leon-Guerrero - MS, Domingo Molina - MS, Robert Abrams - MS, Ricardo Diaz-Diaz - Post Doctoral Fellow, Erik Wahlstrom - MS, Robert Abrams - PhD, Robert Abrams - Post Doctoral Fellow, Jim Blanke - MS CoTerm, Anona Dutton - MS CoTerm, D’Artagnan Lloyd - MS, Melissa Mills - MS, Edzer Pebesma - Visiting Scholar, Iris Stewart - PhD, Luis Ugalde - MS, Joel VanderKwaak - Post Doctoral Fellow, Dennis Corwin - Visiting Scholar, Leigh Soutter - PhD, Robert Abrams - Research Associate, Qihua Ran - MS, Lauren Benson - MS CoTerm, Qihua Ran - PhD, Adrianne Carr - PhD, Christopher Heppner - PhD, Susan BeVille - MS CoTerm, Brian Ebel - PhD, Brian Ebel - Post Doctoral Fellow, Benjamin Mirus - PhD, Mollie Pettit - MS, Kristin Mayer - MS, Matthew Thomas - PhD, & Matthew Thomas - Post Doctoral Fellow
* Invited Reviews, requested by: Academic Press, Advances in Environmental Research, Advances in Water Resources, American Geophysical Union, Hydraulic Engineering, Hydrologic Engineering, Cambridge University Press, Earth & Planetary Science Letters, Ecohydrology, Engineering Geology, Environmental & Engineering Geoscience, Environmental Earth Sciences, Environmental Geology, Environmental Fluid Mechanics, Environmental Science & Technology, Geoderma, Geophysical Research Letters, Hydrogeology, Hydrological Processes, Contaminant Hydrology, Environmental Quality, Geophysical Research - Earth Surface, Natural Hazards, National Aeronautics & Space Administration, National Geographic Society, National Science Foundation, National Sciences & Engineering Research Council of Canada, Numerical Methods for Partial Differential Equations, Oxford University Press, Proceedings of the National Academy of Sciences, Remote Sensing of Environment, Reviews in Geophysics, Science, USDA Water Quality Research Program, USGS National Institutes for Water Resources , US State Department (Science Center), Soil Science Society of America, Vadoze Zone, Water Resources Center (California), Water Resources Research, Water Resources Research Center (Hawaii), & 37 more journals/agencies
TEACHING (courses taught, repeatedly; 89 total), 1985-2017
* University of Hawaii @ Manoa, 1985-1988 (~ 1,000 days): GG455 Groundwater Geology, GG654 Groundwater Contamination, GG655 Groundwater Modeling, & GG656 Transport Modeling
* University of California @ Berkeley, 1988-1994 (2,222 days): FRM109 Wildland Hydrology, SS150 Soil Hydrology, Soil Science Seminar, SS250 Vadose Zone Modeling, & SS251 Hillslope Hydrology
* Leland Stanford Junior University, 1994-2017 (8,431 days): GES-43Q Environmental Problems, GES-130 Environmental Earth Sciences I, GES-131 Environmental Earth Sciences II, GES-130 Soil Physics and Hydrology, GES-131 Hydrologically-Driven Landscape Evolution, GES-140 Geomorphology, GES-230 Hydrogeology, GES-332b Seminar in Hydrogeology, GES-237 Surface and Near-Surface Hydrologic Response, GES-238 Soil Physics, & GES-239 Advanced Geomorphology
SERVICE (US Army - enlisted - 1,096 days active duty), 1970-1973
* Stateside: Fort Wayne MI, Fort Knox KY (D-12-5 "tigers one and all"), Fort Eustis VA, Fort Stewart GA, Hunter Army Airfield GA, Treasure Island CA, & Fort Carson CO
* Vietnam (volunteer - 328 days "in country"): "breathing in" Saigon / Tan Son Nhut AB (via Travis AFB, Alaska, & Yokota AFB), Vung Tau, 611th Trans Company 1st Aviation Brigade @ Vien Long Army Airfield ("Delta Riggers" - crew chief, Tailboard 336 [67N20 / UH-1H (slick)], door gunner, & rigger), Can Tho Army Airfield, F Troop 1st Calvalry Division @ Bien Hoa Air Base (Army side), & "breathing out" Saigon / Tan Son Nhut AB (to Travis AFB)
