Taher Haveliwala , PhD Candidate, Computer Science
Taher Haveliwala received a B.S in Computer Science from UC Berkeley in 1998, and an M.S. in Computer Science from Stanford in 2001. He is currently a fifth-year Ph.D. student working with Professor Jeffrey Ullman on data mining and Web search algorithms. He has published papers on many aspects of Web search and clustering, most recently in algorithms for personalizing and accelerating PageRank computation. His work on personalized PageRank received the Best Student Paper Award at the prestigious International World Wide Web Conference in 2002. Having worked as an intern at Google in the summer of 2000, Taher has first-hand experience in developing large-scale search technology in a commercial setting.
Glen Jeh , PhD Candidate, Computer Science
Glen Jeh received Bachelor's Degrees in both Computer Science and Mathematics from UC Berkeley in 2000, and an M.S. in Computer Science from Stanford in 2003. He is currently a third-year Ph.D. student working with Professor Jennifer Widom on graph analysis, data mining, and personalized Web search. Glen's recent work on efficient techniques for computing personalized PageRank won the Best Paper Award at the International World Wide Web Conference in 2003. The development of a large-scale prototype to test personalization techniques has given him valuable insight in dealing with Web-scale data.
Sepandar Kamvar , PhD Candidate, Scientific Computing and Computational Mathematics
Sepandar Kamvar received his Bachelor's Degree in Chemistry from Princeton University in 1999 and is now a fourth-year Ph.D. student working with Professor Chris Manning. Since coming to Stanford, he has applied his background in scientific computing to diverse areas of Computer Science Sep has published over twenty research papers on web search, peer-to-peer networks, machine learning, and natural language processing, and has consulted for leading natural language technology companies. Most recently, he has applied his extensive knowledge of linear algebra to speed up personalized PageRank computation.
Hector Garcia-Molina, Professor, Computer Science and Electrical Engineering
Hector Garcia-Molina is the Leonard Bosack and Sandra Lerner Professor in the Departments of Computer Science and Electrical Engineering at Stanford University. His research interests include distributed computing systems, digital libraries and database systems.
Garcia-Molina is the chairman of the Computer Science Department since January 1, 2001. From 1997 to 2001 he was a member the President's Information Technology Advisory Committee (PITAC). He is a Fellow of the Association for Computing Machinery and of the American Academy of Arts and Sciences; is a member of the National Academy of Engineering; is on the Technical Advisory Board of AltaVista and Verity (among others), and is a member of the Oracle Board of Directors.
Gene Golub, Professor, Computer Science and Scientific Computing and Computational Mathematics
Gene Golub is the Fletcher Jones Professor in the department of Computer Science (and by courtesy, Electrical Engineering) at Stanford University. His research interests are in the area of numerical linear algebra, including structured linear systems, eigenvalue problems, and inverse problems.
Golub was the chairman of the Computer Science department at Stanford from 1981-1984, and the director of the Program in Scientific Computing and Computational Mathematics at Stanford from 1988-1998. He is a member of the National Academy of Sciences and the American Academy of Arts and Sciences and was the President of the Society for Industrial and Applied Mathematics from 1985-1987.
Chris Manning, Assistant Professor, Computer Science and Linguistics
Chris Manning is an Assistant Professor in the departments of Computer Science and Linguistics at Stanford University. His research interests are in probabilistic models of language and statistical natural language processing, information extraction, text understanding and text mining, and other areas of computational linguistics and machine learning.
Manning is the author of the key textbook in the field of statistical Natural Language Processing.
Rajeev Motwani, Professor, Computer Science
Rajeev Motwani is a Professor and Director of Graduate Studies in the Department of Computer Science at Stanford. His research interests include databases, data mining, information retrieval, and web search.
Motwani has received the Godel Prize, the Okawa Foundation Research Award, the Arthur Sloan Research Fellowship from the NSF, and serves on various editorial boards and industry boards and advisory boards, including the technical advisory board of Google.
Jeff Ullman, Professor, Computer Science
Jeff Ullman is the Stanford W. Ascherman Professor of Computer Science (Emeritus). His research interests include database theory, database integration, data mining, and education using the information infrastructure.
Ullman was the chairman of the Computer Science department at Stanford from 1990-1994. He has authored or co-authored 16 books and over 160 technical publications. He is a Fellow of the Association for Computing Machinery, a member of the National Academy of Engineering; and is on the Technical Advisory Board of Google (among others).
Jennifer Widom, Associate Professor, Computer Science
Jennifer Widom is an Associate Professor in the Departments of Computer Science and Electrical Engineering at Stanford University. Her research interests are in data streams, data caching and replication, combining databases and the Web, and other areas of database research.
Widom is a former Guggenheim fellow, has co-authored 3 books, and has been on several advisory boards.
Ian Spiro , Undergraduate, Computer Science
Ian Spiro is an undergraduate summer student in the Stanford NLP Group. His research interests are in data visualization, graphics, and data mining. He is currently the webmaster of the Stanford PageRank Project.
Stanford Database Group
Stanford Global Infobase Project
Stanford Natural Language Processing Group
Stanford Scientific Computing and Computational Mathematics
Stanford Webbase Project