Stanford University
Showing 1,101-1,200 of 2,183 Results
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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 degree in Molecular Biology from Princeton University in 2018, where he conducted research under Dr. Yibin Kang on cancer metastasis and cancer stem cell biology. He then came to Stanford for his MD-PhD training, where he joined the laboratory of Dr. Irv Weissman. His graduate research concerned the prospective isolation of neural stem cells from primary human brain tissue, in development and across lifespan.
Daniel is currently a resident in Anatomic and Neuropathology at Stanford Medicine. -
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. -
C. Karen Liu
Professor of Computer Science
On Partial Leave from 01/01/2026 To 06/30/2026BioC. Karen Liu is a professor in the Computer Science Department at Stanford University. Prior to joining Stanford, Liu was a faculty member at the School of Interactive Computing at Georgia Tech. She received her Ph.D. degree in Computer Science from the University of Washington. Liu's research interests are in computer graphics and robotics, including physics-based animation, character animation, optimal control, reinforcement learning, and computational biomechanics. She developed computational approaches to modeling realistic and natural human movements, learning complex control policies for humanoids and assistive robots, and advancing fundamental numerical simulation and optimal control algorithms. The algorithms and software developed in her lab have fostered interdisciplinary collaboration with researchers in robotics, computer graphics, mechanical engineering, biomechanics, neuroscience, and biology. Liu received a National Science Foundation CAREER Award, an Alfred P. Sloan Fellowship, and was named Young Innovators Under 35 by Technology Review. In 2012, Liu received the ACM SIGGRAPH Significant New Researcher Award for her contribution in the field of computer graphics.
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William Z Liu
Undergraduate, Computer Science
Undergraduate, MathematicsBioFrom Bellevue, WA.
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Anders Gjølbye Madsen
Graduate Visiting Researcher Student, Computer Science
BioAnders Gjølbye Madsen is a PhD fellow at the Technical University of Denmark. His research focuses on trustworthy machine learning for healthcare, with an emphasis on explainability, interpretability, and reliable evaluation of models in high-stakes settings. He works broadly with modern deep learning methods, including self-supervised learning, and is interested in questions of robustness and alignment. He is the author of PatternLocal, a NeurIPS 2025 paper on reducing false-positive attributions in explanations of non-linear models by refining local explanation approaches. He earned a BSc in Artificial Intelligence and Data from DTU and completed an MSc in Engineering in Applied Mathematics at DTU, including a study exchange in Computational Science and Engineering at ETH Zürich. Anders will spend 2026 as a visiting researcher at Stanford University’s Trustworthy AI Research (STAIR) Lab, working with Professor Sanmi Koyejo.
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Christopher Manning
Thomas M. Siebel Professor of Machine Learning, Professor of Linguistics, of Computer Science and Senior Fellow at the Stanford Institute for Human-Centered AI
On Leave from 10/01/2025 To 06/30/2026BioChristopher Manning is the inaugural Thomas M. Siebel Professor in Machine Learning in the Departments of Linguistics and Computer Science at Stanford University, Director of the Stanford Artificial Intelligence Laboratory (SAIL), and an Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI). From 2010, Manning pioneered Natural Language Understanding and Inference using Deep Learning, with impactful research on sentiment analysis, paraphrase detection, the GloVe model of word vectors, attention, neural machine translation, question answering, self-supervised model pre-training, tree-recursive neural networks, machine reasoning, dependency parsing, and summarization, work for which he has received two ACL Test of Time Awards and the IEEE John von Neumann Medal (2024). He earlier led the development of empirical, probabilistic approaches to NLP, computational linguistics, and language understanding, defining and building theories and systems for Natural Language Inference, syntactic parsing, machine translation, and multilingual language processing, work for which he won ACL, Coling, EMNLP, and CHI Best Paper Awards. In NLP education, Manning coauthored foundational textbooks on statistical approaches to NLP (Manning and Schütze 1999) and information retrieval (Manning, Raghavan, and Schütze, 2008), and his online CS224N Natural Language Processing with Deep Learning course videos have been watched by hundreds of thousands. In linguistics, Manning is a principal developer of Stanford Dependencies and Universal Dependencies, and has authored monographs on ergativity and complex predicates. He is the founder of the Stanford NLP group (@stanfordnlp) and was an early proponent of open source software in NLP with Stanford CoreNLP and Stanza. He is an ACM Fellow, a AAAI Fellow, and an ACL Fellow, and a Past President of the ACL (2015). Manning has a B.A. (Hons) from The Australian National University, a Ph.D. from Stanford in 1994, and an Honorary Doctorate from U. Amsterdam in 2023. He held faculty positions at Carnegie Mellon University and the University of Sydney before returning to Stanford.
