School of Engineering
Showing 3,301-3,400 of 6,595 Results
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Jing Liang
Postdoctoral Scholar, Computer Science
BioJing Liang is a postdoctoral scholar in the Department of Computer Science at Stanford University, where he is affiliated with the Stanford Robotics Center and the Stanford Center on Longevity. He received his Ph.D. in Computer Science from the University of Maryland, College Park.
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Percy Liang
Professor of Computer Science
BioPercy Liang is an Associate Professor of Computer Science at Stanford University (B.S. from MIT, 2004; Ph.D. from UC Berkeley, 2011) and the director of the Center for Research on Foundation Models (CRFM). He is currently focused on making foundation models (in particular, language models) more accessible through open-source and understandable through rigorous benchmarking. In the past, he has worked on many topics centered on machine learning and natural language processing, including robustness, interpretability, human interaction, learning theory, grounding, semantics, and reasoning. He is also a strong proponent of reproducibility through the creation of CodaLab Worksheets. His awards include the Presidential Early Career Award for Scientists and Engineers (2019), IJCAI Computers and Thought Award (2016), an NSF CAREER Award (2016), a Sloan Research Fellowship (2015), a Microsoft Research Faculty Fellowship (2014), and paper awards at ACL, EMNLP, ICML, COLT, ISMIR, CHI, UIST, and RSS.
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Kang Rui Garrick Lim
Postdoctoral Scholar, Chemical Engineering
BioI am a materials chemist from Singapore and a Stanford Energy Postdoctoral Fellow with Prof. Matteo Cargnello and Prof. Thomas Jaramillo. In 2027, I will start as a Nanyang Assistant Professor of Materials Science & Engineering at Nanyang Technological University (NTU) in Singapore. I completed my PhD and Master's degree in chemistry at Harvard under Prof. Joanna Aizenberg, and my Bachelor's degree in chemistry from the National University of Singapore (NUS).
At Stanford (2025-), I work on colloidal catalyst design for CO2 conversion as part of the SUNCAT Center for Interface Science and Catalysis. During my PhD at Harvard (2020-2025), I integrated colloidal templating and self-assembly concepts into catalyst design to design 3D macroporous inverse opal structures incorporating dilute alloy nanoparticles to serve as a model thermocatalytic platform. Previously, at NUS and IMRE A*STAR in Singapore (2019-2020), I synthesized MXene nanohybrids for electrocatalysis and designed core-shell quantum dots for light harvesting. My broader research interest is to leverage on colloidal design of catalytic architectures–their active sites and immediate environment–to bridge the materials gap in catalyst design for low carbon energy research. -
Michael Lin
Professor of Neurobiology, of Bioengineering and, by courtesy, of Chemical and Systems Biology
Current Research and Scholarly InterestsOur lab applies biochemical and engineering principles to the development of protein-based tools for investigating biology in living animals. Topics of investigation include fluorescent protein-based voltage indicators, synthetic light-controllable proteins, bioluminescent reporters, and applications to studying animal models of disease.
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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
BioChristian 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). -
Carissa Little
Associate Dean and Executive Director, Stanford Engineering Center for Global and Online Education
Current Role at StanfordAssociate Dean, Global and Online Education, School of Engineering
Executive Director, Center for Global and Online Education and Stanford Online -
Daniel Dan Liu
MD Student, expected graduation Spring 2026
Ph.D. Student in Stem Cell Biology and Regenerative Medicine, admitted Autumn 2020
MSTP Student
Ph.D. Minor, Computer ScienceBioDaniel received his bachelor's in molecular biology from Princeton University in 2018. His undergraduate research, conducted under the mentorship of Dr. Yibin Kang, centered around cancer metastasis and cancer stem cell biology. He is currently an MD-PhD candidate in the lab of Dr. Irving Weissman, where he researches human neural stem cells and primary brain malignancies.
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Mengyao Liu
Ph.D. Student in Classics, admitted Autumn 2022
Ph.D. Minor, Computer ScienceBioI am broadly interested in the production of knowledge in ancient worlds, with a particular interest in the Greco-Roman and Chinese traditions. My curiosity is a comparative and genealogical one at root: by comparing different societies, I seek to grasp the historicity of intellectual practices and the ideas thus produced. Currently, my research interest focuses on astronomy and astrology in Ancient Greece and China.
While completing my B.A. in Classics at Sorbonne University, I investigated how the urban metamorphoses of Rome materialized the transformation of the political regime. My master's thesis at EHESS, "Statues pour les corps, livres pour les mots" : La vie (βἰος) et la rhétorique (λόγος) dans les Discours Sacrés, offers insight into the psychosomatic relations conceived by the Greeks. The inquiry breaks into two interdependent questions: the therapeutic usage of rhetorical practices and the unconventional representation of Asclepius in the Sacred Tales of Aristides.
Having one year of training in software engineering from Tsinghua University, I am also passionate about the potentials of digital humanities. -
Jonathan T.C. Liu
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
