School of Humanities and Sciences
Showing 156 of 56 Results

Emmanuel Candes
BarnumSimons Chair of Math and Statistics, and Professor of Statistics and, by courtesy, of Electrical Engineering
BioEmmanuel Candès is the BarnumSimons Chair in Mathematics and Statistics, a professor of electrical engineering (by courtesy) and a member of the Institute of Computational and Mathematical Engineering at Stanford University. Earlier, Candès was the Ronald and Maxine Linde Professor of Applied and Computational Mathematics at the California Institute of Technology. His research interests are in computational harmonic analysis, statistics, information theory, signal processing and mathematical optimization with applications to the imaging sciences, scientific computing and inverse problems. He received his Ph.D. in statistics from Stanford University in 1998.
Candès has received several awards including the Alan T. Waterman Award from NSF, which is the highest honor bestowed by the National Science Foundation, and which recognizes the achievements of earlycareer scientists. He has given over 60 plenary lectures at major international conferences, not only in mathematics and statistics but in many other areas as well including biomedical imaging and solidstate physics. He was elected to the National Academy of Sciences and to the American Academy of Arts and Sciences in 2014. 
Gunnar Carlsson
Ann and Bill Swindells Professor, Emeritus
BioDr. Carlsson has been a professor of mathematics at Stanford University since 1991. In the last ten years, he has been involved in adapting topological techniques to data analysis, under NSF funding and as the lead PI on the DARPA “Topological Data Analysis” project from 2005 to 2010. He is the lead organizer of the ATMCS conferences, and serves as an editor of several Mathematics journals

Moses Charikar
Donald E. Knuth Professor and Professor, by courtesy, of Mathematics
Current Research and Scholarly InterestsEfficient algorithmic techniques for processing, searching and indexing massive highdimensional data sets; efficient algorithms for computational problems in highdimensional statistics and optimization problems in machine learning; approximation algorithms for discrete optimization problems with provable guarantees; convex optimization approaches for nonconvex combinatorial optimization problems; lowdistortion embeddings of finite metric spaces.

Persi Diaconis
Mary V. Sunseri Professor in the School of Humanities and Sciences and Professor of Mathematics
Current Research and Scholarly InterestsResearch Interests:
PROBABILITY THEORY
BAYESIAN STATISTICS
STATISTICAL COMPUTING
COMBINATORICS 
Jared Duker Lichtman
Szego Assistant Professor (subject to PhD) of Mathematics
BioJared Duker Lichtman is a Szegő Assistant Professor in the Department of Mathematics. Jared earned his doctorate in 2023 at the University of Oxford, supervised by Prof. James Maynard.

Andrea Montanari
John D. and Sigrid Banks Professor and Professor of Mathematics
BioI am interested in developing efficient algorithms to make sense of large amounts of noisy data, extract information from observations, estimate signals from measurements. This effort spans several disciplines including statistics, computer science, information theory, machine learning.
I am also working on applications of these techniques to healthcare data analytics. 
Calder MortonFerguson
Szego Assistant Professor of Mathematics
BioThis year, I will be a Szegő Assistant Professor in Stanford's math department. I completed my PhD at MIT from 20192024 under the supervision of Roman Bezrukavnikov. My research interests lie in the intersection of algebra, geometry, and combinatorics, particularly in the context of geometric representation theory.

Richard Sommer
Lecturer
BioRick Sommer received both his bachelors and PhD degrees in Mathematics from UC Berkeley, where he began his research in mathematical logic. Rick held a research position at MSRI in 1989  1990, and became a Gabor Szego Assistant Professor in the Department of Mathematics at Stanford in 1990. In 1995, Rick cofounded the Stanford University Mathematics Camp, for which he served as Director for over 25 years, and continues in a role as Consultant and Instructor. Also in the mid90s, Rick took on a leadership role in developing online courses and residential summer programs for Stanford's Education Program for Gifted Youth (EPGY). In 2012, EPGY transformed into Stanford PreCollegiate Studies (SPCS), providing a home to the Stanford Online High School as well as over a dozen summer and yeararound precollegiate programs, many of which Rick played a role in designing, developing and leading. Rick served as Executive Director of SPCS from 20152020. Rick is currently Lecturer in Mathematics teaching a range of courses (Math 101, 110, 113, 115, 161), and he also teaches logic courses in the Philosophy Department (Phil 151, 152). Rick has a strong interest in mathematics education, and more generally in educational programs designed to inspire and develop the curiosity of young people. Rick is CoFounder and Board Member of AI4ALL, working to increase diversity in the leadership of AI, and he is Treasurer and Board Member of the Gathering for Gardner Foundation, stimulating curiosity and the playful exchange of ideas in mathematics and related fields, in the spirit of Martin Gardner.

Ravi Vakil
Robert Grimmett Professor of Mathematics
Current Research and Scholarly InterestsAlgebraic geometry and related subjects. For a complete publication list, see my publication page http://math.stanford.edu/~vakil/preprints.html rather than the list here.

Andras Vasy
Robert Grimmett Professor of Mathematics
Current Research and Scholarly InterestsMy research concentrates on topics in two broad areas of applications of microlocal analysis in which, partly with collaborators, I introduced new ideas in recent years: nonelliptic linear and nonlinear partial differential equations (PDE), typically concerning wave propagation or other related phenomena, and inverse problems for Xray type transforms along geodesics and related problems for determining the metric tensor from boundary measurements.