Vice Provost and Dean of Research
Showing 951-960 of 1,755 Results
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Aaron Lindenberg
Professor of Materials Science and Engineering and of Photon Science
BioLindenberg's research is focused on visualizing the ultrafast dynamics and atomic-scale structure of materials on femtosecond and picosecond time-scales. X-ray and electron scattering and spectroscopic techniques are combined with ultrafast optical techniques to provide a new way of taking snapshots of materials in motion. Current research is focused on the dynamics of phase transitions, ultrafast properties of nanoscale materials, and charge transport, with a focus on materials for information storage technologies, energy-related materials, and nanoscale optoelectronic devices.
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Christian Linder
Professor of Civil and Environmental Engineering
On Leave from 04/01/2026 To 06/30/2026BioChristian Linder is a Professor of Civil and Environmental Engineering and, by courtesy, of Mechanical Engineering. Through the development of novel and efficient in-house computational methods based on a sound mathematical foundation, the research goal of the Computational Mechanics of Materials (CM2) Lab at Stanford University, led by Dr. Linder, is to understand micromechanically originated multi-scale and multi-physics mechanisms in solid materials undergoing large deformations and fracture. Applications include sustainable energy storage materials, flexible electronics, and granular materials.
Dr. Linder received his Ph.D. in Civil and Environmental Engineering from UC Berkeley, an MA in Mathematics from UC Berkeley, an M.Sc. in Computational Mechanics from the University of Stuttgart, and a Dipl.-Ing. degree in Civil Engineering from TU Graz. Before joining Stanford in 2013 he was a Junior-Professor of Micromechanics of Materials at the Applied Mechanics Institute of Stuttgart University where he also obtained his Habilitation in Mechanics. Notable honors include a Fulbright scholarship, the 2013 Richard-von-Mises Prize, the 2016 ICCM International Computational Method Young Investigator Award, the 2016 NSF CAREER Award, and the 2019 Presidential Early Career Award for Scientists and Engineers (PECASE). -
Scott W Linderman
Assistant Professor of Statistics
BioScott Linderman, PhD, is an Assistant Professor at Stanford University in the Statistics Department and the Wu Tsai Neurosciences Institute, as well as the Co-Director of the Stanford Center for Neural Data Science. His research focuses on machine learning, computational neuroscience, and the general question of how computational and statistical methods can help to decipher neural computation. His work combines novel methodological development in the areas of state space models, deep generative models, point processes, and approximate Bayesian inference with applied statistical analyses of large-scale neural and behavioral data. Previously, he was a postdoctoral fellow at Columbia University and a graduate student at Harvard University. His work has been recognized with a Savage Award from the International Society for Bayesian Analysis, an AISTATS Best Paper Award, an NSF CAREER Award, and fellowships from the McKnight, Sloan, and Simons Foundations.
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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.
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Bruce Ling
Senior Research Scientist, Pediatrics - Neonatology
Current Research and Scholarly InterestsMy research focuses on developing AI-enabled translational medicine platforms that integrate real-world electronic health records, wearable biosensor signals, LC-MS/MS-based proteomics and metabolomics, cfDNA molecular profiling, and multimodal medical imaging. The overarching goal is to transform longitudinal clinical, physiological, and molecular data into predictive tools for early disease detection, dynamic risk stratification, digital twin modeling, and precision intervention.
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Joseph (Joe) Lipsick
Professor of Pathology and of Genetics
On Leave from 06/15/2026 To 12/31/2026Current Research and Scholarly InterestsFunction and evolution of the Myb oncogene family; function and evolution of E2F transcriptional regulators and RB tumor suppressors; epigenetic regulation of chromatin and chromosomes; cancer genetics.
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Marc Lipsitch
Michael and Barbara Berberian Professor, Professor of Biology and Senior Fellow at the Freeman Spogli Institute for International Studies
BioMarc Lipsitch and his research group study the impact of medical and public health interventions and human immunity on pathogen populations and the consequences of these changes for human health. Within this broad umbrella we consider both ecological effects (modulating the amount of transmission and infection) and evolutionary ones (shaping the genetic composition of the populations of infectious agents). Specific areas of interest include natural selection imposed by strain-specific vaccines and antibiotics, design and evaluation of measures to control outbreaks and pandemics, methods for evaluating vaccine efficacy, and surveillance design. Tools include mathematical and computational modeling, pathogen population genomics, causal inference methods, and (in the past) experimental microbiology and immunology. In addition to this scientific research, we work in the areas of research ethics and biosecurity (through an appointment at the Center for International Security and Cooperation). He joined Stanford in 2026. From 1999-2025 he was a faculty member at Harvard TH Chan Schooll of Public Health, where he was Professor of Epidemiology (20062025) and founding Director of the Center for Communicable Disease Dynamics (2009-2025). He was founding Director for Science and then Senior Advisor at the CDC's Center for Forecasting and Outbreak Analytics (2021-5).
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Fang Liu
Assistant Professor of Chemistry
Current Research and Scholarly InterestsThe group will develop scalable and controllable processes to produce low dimensional materials and their artificial structures, and unravel their novel static and dynamical properties of broad interest to future photonic, electronic and energy technologies. The topics will include: a) Unraveling time-resolved dynamics in light-induced electronic response of two dimensional (2D) materials artificial structures. b) Fabrication of 1D atomically thin nanoribbon arrays and characterization of the electronic and magnetic properties for the prominent edge states. c) Lightwave manipulation with 2D superlattices. These research projects will provide participating students with broad interdisciplinary training across physics, chemistry, and materials science.
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Jonathan T.C. Liu, PhD
Professor of Pathology and Professor, by courtesy, of Bioengineering
Current Research and Scholarly InterestsBiomedical optics
In vivo microscopy
Slide-free pathology
Three-dimensional microscopy
3D pathology
Optical biopsy
Image-guided surgery
Early detection
Artificial intelligence
Machine learning
Deep learning
Computational analysis
Computational pathology
Virtual staining
Molecular imaging
