School of Humanities and Sciences
Showing 101-167 of 167 Results
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Andrei Linde
Humanities and Sciences Professor, Emeritus
BioWhat is the origin and the global structure of the universe?
For a long time, scientists believed that our universe was born in the big bang, as an expanding ball of fire. This scenario dramatically changed during the last 35 years. Now we think that initially the universe was rapidly inflating, being in an unstable energetic vacuum-like state. It became hot only later, when this vacuum-like state decayed. Quantum fluctuations produced during inflation are responsible for galaxy formation. In some places, these quantum fluctuations are so large that they can produce new rapidly expanding parts of the universe. This process makes the universe immortal and transforms it into a multiverse, a huge fractal consisting of many exponentially large parts with different laws of low-energy physics operating in each of them.
Professor Linde is one of the authors of inflationary theory and of the theory of an eternal inflationary multiverse. His work emphasizes the cosmological implications of string theory and supergravity.
Current areas of focus:
- Construction of realistic models of inflation based on supergravity and string theory
- Investigation of conceptual issues related to the theory of inflationary multiverse -
Scott W Linderman
Assistant Professor of Statistics and, by courtesy, of Computer Science
BioScott is an Assistant Professor of Statistics and, by courtesy, Electrical Engineering and Computer Science at Stanford University. He is also an Institute Scholar in the Wu Tsai Neurosciences Institute and a member of Stanford Bio-X and the Stanford AI Lab. His lab works at the intersection of machine learning and computational neuroscience, developing statistical methods to analyze large scale neural data. Previously, Scott was a postdoctoral fellow with Liam Paninski and David Blei at Columbia University, and he completed his PhD in Computer Science at Harvard University with Ryan Adams and Leslie Valiant. He obtained his undergraduate degree in Electrical and Computer Engineering from Cornell University and spent three years as a software engineer at Microsoft before graduate school.
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John Lipa
Professor (Research) of Physics, Emeritus
BioJohn Lipa received his PhD at the University of Western Austrailia. He has acted as an assistant professor, senior research associate, and professor at Stanford University. Research interests include testing of various aspects of the renormalization group theory of cooperative phase transitions.
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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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Lin Liu
Postdoctoral Scholar, Chemistry
BioI finished my undergraduate study in general chemistry at Shandong Normal University in 2014. Later, I continued to my master’s studies in organic chemistry at Lanzhou University. In 2018, I moved to Baylor University conducting research under the mentorship of Professor John L. Wood. During my graduate studies, I mainly focused on the total syntheses of natural products. In 2024, I joined the Khosla lab and Cui lab as a joint postdoc. Outside the lab, I like cooking, playing basketball, and watching movies
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Qiao Liu
Postdoctoral Scholar, Statistics
BioI am currently a postdoctoral scholar at the Department of Statistics, Stanford University, advised by Prof. Wing Hung Wong. I will be joining the Department of Biostatistics, Yale University as an tenure-track assistant professor at 2025 Fall. My general research interest lies in the multi-disciplinary area where I have been committed to developing practical statistical and machine learning tools with significance in both statistical theory and applications. In particular, I have been pursuing this research agenda by exploiting the advances in generative artificial intelligence (AI) to tackle several fundamental statistical problems, such as density estimation, causal inference, and unsupervised learning with also broad applications in computational biology.
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Kang Yong Loh
Ph.D. Student in Chemistry, admitted Autumn 2018
BioI am a PhD graduate student and a Stanford ChEM-H Chemistry/Biology Interface Predoctoral Trainee at Stanford University, Department of Chemistry under the supervision of D.H. Chen Professor of Bioengineering Karl Deisseroth. I am interested in developing new chemical/protein tools to study neuroscience.
I was previously a research assistant at the Institute of Materials Research and Engineering and the Department of Chemistry at the National University of Singapore under the supervision of Provost's Chair Professor of Chemistry Xiaogang Liu. I was an Arnold and Mabel Beckman Fellow at the Beckman Institute of Advanced Science and Technology, University of Illinois at Urbana-Champaign under the supervison of Jay and Ann Schenck Professor of Chemistry Yi Lu on bio-inspired nanomaterials, metalloDNAzymes and sensors. Prior to this, in 2010, I joined the Institute of Bioengineering and Nanotechnology in the laboratories of Professor Ying Jackie Yi-Ru, Professor Zhiqiang Gao and Principal Research Scientist Yanbing Zu to work on ultrasensitive DNA nanoparticle based biosensors. Subsequently in 2014, I worked on upconversion nanomaterials for biological applications under the supervision of Professor Xiaogang Liu at the National University of Singapore and the Institute of Materials Research and Engineering. In Summer 2015, Kang Yong returned to the National University of Singapore, the Institute of Materials Research and Engineering and the Institute of Molecular and Cell Biology under the supervision of Professor Yin Thai Chan to work on semiconductor quantum dots and microfluidics applications.
I obtained my B.S. degree in Chemistry (Highest Distinction and Edmund J. James Scholar Honors) from the University of Illinois at Urbana-Champaign in 2017. -
Gabriela Lomeli
Postdoctoral Scholar, Chemistry
BioGabriela is a Propel Postdoctoral Scholar, co-advised by Professor Carolyn Bertozzi and Professor Polly Fordyce. Gabriela earned her PhD from the UC Berkeley – UC San Francisco Graduate Program in Bioengineering and holds a BS in Chemical Engineering from Stanford University. Her research is broadly centered on the development of microfluidic tools for protein analysis and protein engineering. At present, her main project seeks to engineer proteases to target mucins using a high-throughput microfluidic platform.
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David Long
Postdoctoral Scholar, Physics
Current Research and Scholarly InterestsDavid is a theoretical condensed matter physicist with an expertise in systems far from equilibrium. His research focuses on the dynamics of quantum systems, including many-body dynamics, the process of thermalization in nearly-localized systems, and on robust topological effects in driven systems.
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Sharon R. Long
William C. Steere, Jr. - Pfizer Inc. Professor of Biological Sciences and Professor, by courtesy, of Biochemistry
On Leave from 10/01/2024 To 12/31/2024Current Research and Scholarly InterestsBiochemistry, genetics and cell biology of plant-bacterial symbiosis
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Kaden Loring
Ph.D. Student in Applied Physics, admitted Autumn 2021
BioKaden Loring began his PhD in Applied Physics at Stanford University in September 2021. Loring's research specialization is laser-based diagnostics for fusion-relevant plasmas. Loring received his bachelor's degree from the University of Florida in May 2020 in Physics. He is passionate about research aimed at the development of nuclear fusion for energy. In his free-time, Loring enjoys spending time in nature whenever possible.
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Christopher Lowe
Professor of Biology
Current Research and Scholarly InterestsEvolution and development, specifically the evolution of the deuterostomes
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Yougeng Lu
Postdoctoral Scholar, Biology
BioYougeng Lu (he/him/his) is a Postdoctoral Scholar with the Natural Capital Project on developing urban nature exposure model. His research focuses on exploring the linkages between exposure to urban nature, such as green space and street trees, and individual's physical activity and mental health. Yougeng received his Ph.D. in Urban Planning and Development from the University of Southern California, where he developed a high spatiotemporal resolution PM2.5 prediction model with low-cost air sensors and studied how people's travel behavior affects their air pollution exposure. He holds an M.Sc. in Urban Planning from University of Washington, Seattle; and a B.Sc. in Geography from Wuhan University, China.
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Marina Dewinara Luccioni
Ph.D. Student in Biology, admitted Autumn 2023
BioI work on projects which value knowledges and practices from local communities to inform our understandings of mental health and inspire community connection with the land and sea.
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Liqun Luo
Ann and Bill Swindells Professor and Professor, by courtesy, of Neurobiology
Current Research and Scholarly InterestsWe study how neurons are organized into specialized circuits to perform specific functions and how these circuits are assembled during development. We have developed molecular-genetic and viral tools, and are combining them with transcriptomic, proteomic, physiological, and behavioral approaches to study these problems. Topics include: 1) assembly of the fly olfactory circuit; 2) assembly of neural circuits in the mouse brain; 3) organization and function of neural circuits; 4) Tool development.
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Art Lyubimov
Engineering Science Research Associate (Staff Scientist)
BioI work on developing and supporting new X-ray diffraction data collection, monitoring, and processing software, predominantly for use at synchrotron (SSRL) beamlines but also applicable for X-ray free electron laser experiments.
