This page provides links to all of my co-authors and co-editors who have web pages (and a few who don't). The reason for creating this page is to make it easy for me to remind myself (and perhaps others) what these folks are doing now.
This list is not intended as an alternative to Google, but I hope that those listed here will be happy that this listing that will give boost to their own Google page ranking.
If I have made an error in any of my thumbnail sketches, let me know and I will fix it.
David Aldous contributes to all parts of probability, but he has a particular liking for intuitive ideas like the famous clumping heuristic. His site provides (1) access to his new Markov Chain book with Jim Fill, (2) an open problems page, and (3) the Top Ten Reasons to Become a Probabilist.
David Avis is a professor of computer science at McGill who is best known for work in computational geometry. Remarkably, David is also fluent in Japanese, which he learned as an adult.
Jon Bentley is on anyone's list's of the greatest contributors to the world literature of programming. His books make real money. Our paper has been translated into Japanese.
David Boyd is a founder of what is now known as experimental mathematics. He is also the man to ask if you have a question about Pissot-Vinnot numbers or Mahler's measure.
Sid Browne and I did work together when he was a professor at Columbia. He is now at Goldman, Sachs Asset Management where he serves as head of Quantitative Analysis and Research – Alternative Investments, but he has not lost his sense of humor.
Burgess Davis is a probabilist at Purdue. He is perhaps best known for the middle piece (in three senses!) of the widely used Burholder-Davis-Gundy inequality.
Andres del Junco does ergodic theory at the University of Toronto. He has coordinates but no web page.
Dick DeVeaux teaches statistics at Williams College, and, with Paul Velleman he has written Intro Stats, which sells like hotcakes. Dick also has a worldwide reputation as a raconteur with a fine ear for dialect.
Persi Diaconis is as well-known as any statistician can be and one of the few with a picture in his Wikipedia profile. We've known each other since we were both assistant professors at Stanford. He's not here as a co-author but as a co-editor of that hard-to-find classic Discrete Probability and Algorithms.
Bill Eddy works in computational statistics and image processing at CMU. He is closely associated with a collection of image processing tools bravely named FIASCO, or Functional Image Analysis Software - Computational Olio.
Marty Ellis is my only co-author who is no longer living. In fact, he died before our second paper could be published. No one knew it at the time, but it seems clear now that Marty was one of the early victims of AIDS.
Andrey Feuerverger is at the University of Toronto, and he works mainly in mathematical statistics and spectral time series. More recently he attained some notoriety as the author of a (yet unpublished) paper on the so-called "lost tomb of Jesus."
Jim Fill is a probabilist at Johns Hopkins known for his work on Markov chains, including his soon-to-be-finished book with David Aldous.
Moshe Fridman did his Ph.D. with me at Wharton, worked at UCLA for several years, then took up a career in bio-statistics and medical consultancy.
Jun Gao did his Ph.D. with me at Princeton in Applied and Computational Mathematics, though in his last year he was actually at Wharton. Gao has been working in the financial service sector for more than ten years now. Unfortunately, we have lost touch. If you know what Jun is doing now please let me know.
Nassif Ghoussoub has worked in many parts of non-linear analysis, optimization and partial differential equations, but when we were kids, we did ergodic theory together.
Joe Glaz is a statistician and probabilist at the University of Connecticut. He is a particularly involved with the investigation of scan statistics.
Floyd Hanson started out as a classical applied mathematician, doing fluids, asymptotics, and such. He then moved to less classical areas including parallel computation, computational finance, and scientific visualization. Floyd recently retired in order to devote his energy to writing books.
Dorit Hochbaum teaches both in Engineering and in the Haas School at Berkeley. Her research interests include algorithmic and probabilistic aspects of logistics, including supply chain management.
Dick Karp has contributed to many parts of discrete mathematics and the theory of algorithms. In particular he was among the first to realize the importance of NP-completeness and related notions of computational complexity. If there were Nobel prizes in computer science, he would have a couple.
Martin Kulldorff is a statistician at the Harvard Medical School who worked with Joe Glaz and Vladimir Pozdnyakov on scan statistics. As sometimes happens when a paper has multiple co-authors, I have not met Martin face to face.
Tom Leighton and I each have 20% ownership of a group paper organized by Jon Bentley. Tom is perhaps more famous as the co-founder of Akamai. He is my only billionaire co-author, though I hope there are many more.
Margaret Lepley is a computer scientist at Mitre Corporation who now mainly works in data compression for images.
Vladimir Pozdnyakov did his first Ph.d. in St. Petersburg and then came to Penn to do a second Ph.d. He works in limit theory, mathematical finance, and other areas of applied probability, including scan statistics. He is now an associate professor at UConn.
Zhihua Qiao did a Ph.d. in statistics at Wharton, and he decided that it was so much fun that he'd like to do another. He is now in the Ph.d program in finance at MIT.
Dan Rudolph does ergodic theory at the University of Maryland. We were students together at Stanford, and he is perhaps the co-author I have known the longest.
Steve Samuels is now a Professor Emeritus at Purdue, but he continues to be active in research in applied probability.
Larry Shepp is best known for his work in tomography, but he has footprints all over applied mathematics. He may also be the American mathematician who came closest to disappearing into the Gulag.
Timothy Snyder did his Ph.D. with me at Princeton in Applied and Computational Mathematics. We wrote several papers together while he was at Georgetown University, where he became a very young Associate Dean. He then became Dean of Arts and Sciences at Fairfield University, and more recently became Vice-President of Loyola University of Maryland.
Diane Souvaine is a computational geometer who is now doing her duty as the chair of computer science at Tufts.
Joel Spencer can be aptly called "Mr. Probabilistic Method." Like Persi, he is here a co-editor of our IMA volume Discrete Probability and Algorithms.
Donald Stanat started out in physics and mathematics, but he headed to computer science almost in time to be there for the creation. He recently retired from UNC.
Bill Steiger is a professor of computer science at Rutgers who sometimes teaches statistics at Princeton and who is always interested in problems of computational geometry.
Frank Stenger does numerical analysis at the University of Utah. He is best know for work on approximation theory and the sinc function.
Bob Stine has a preference for statistical problems that require a computationally intensive approach, and has worked with Dean Foster on a wide range of problems that leverage a computational point of view.
Luke Tierney is an R super-guru and one of the creators of MCMC. Luke teaches at the University of Iowa.
Andy Yao is a professor of computer science at Princeton. He works in several areas, perhaps most notably in the theories of algorithm efficiency and quantum cryptography.
Yu Zhang is a probabilist at the University of Colorado in Colorado Springs who works in many parts of percolation theory.
Jim Zidek was UBC's first Professor of Statistics, and he has recently become UBC's first Emeritus Professor of Statistics. You can read about Jim's career in English or in French.
Almost anyone in the mathematical sciences is likely to be amused by the Mathematics Genealogy Project . Here I learned to my surprise that I am a scholarly descendant of David Hilbert via a very brief route:
I also recently checked my Erdös number, which I knew had to be two even without knowing by what path. Anyway, I found that David Avis has Erdös number one, so the paper Avis-Davis-Steele (1988) confirms that my Erdös number is in fact two.
Erdös and I had two pieces of work together, yet out of my laziness or foolishness they did not turn into publications. In one of these, Marty Ellis and I developed an idea which was in my thesis and for which Erdös had been the supplier of both the motivation and the key ideas. This is all duly acknowledged in the thesis, but it would have been infinitely better (and much more appropriate) to have had Ellis-Steele (1979) be Erdös-Ellis-Steele (1979). I sorely wish that it could be made so retrospectively.
