School of Humanities and Sciences
Showing 241-260 of 396 Results
-
Song Lin
Professor of Chemistry
BioSong Lin grew up in Tianjin, China. After obtaining B.S. from Peking University in 2008, he pursued graduate studies at Harvard University working with Eric Jacobsen. He then carried out postdoctoral studies with Chris Chang at UC Berkeley. He started his independent career at Cornell University in 2016 and was promoted to Associate Professor in 2021 and Tisch University Professor in 2023. He then joined Stanford University as a Professor of Chemistry in 2026. Song has received several early-career awards, including the Sloan Fellowship, ACS Cope Scholar, National Fresenius Award, Tetrahedron Young Investigator Award, Thieme–IUPAC Prize, Cottrell Scholar Award, Camille Dreyfus Teacher-Scholar Award, NSF CAREER Award, MIT Technology Review Innovators Under 35, BMS Unrestricted Grant, Lilly Research Award, and EPA Green Chemistry Challenge. His dedication to education has been recognized with a Stephen and Margery Russell Distinguished Teaching Award from Cornell University and a Nobel Laureate Signature Award for Graduate Education in Chemistry from the American Chemical Society. He is currently an Associate Editor at Organic Letters, and he serves on the Editorial Advisory Board of Chem, Synlett, Tetrahedron, and Tetrahedron Letters as well as the Scientific Advisory Board of OWiC Technologies.
-
Yujen Lin
Undergraduate, Art & Art History
Ug Oral Comm Tutor, Contingent
Undergraduate, Symbolic SystemsBioHello! I'm Yujen Lin and I'm a part of Stanford's class of 2027. I plan to pursue business and entrepreneurship. Currently, I am looking to be a double major in Symbolic Systems and Art History. I have been an intern for the non-profit organization Paper Bridges, supporting orphans through financial and welfare means. I've worked with SELF company in Taiwan, collaborating on restaurant businesses and films. I am passionate about researching dance in conjunction with mental health, drawing from my own experiences as a performing artist for the past fourteen years. I have worked with Kristina Marquez on research about mirror exposure and dancer's self confidence.
-
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
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.
