Program / Schedule
The program will consist of plenary talks by internationally renowned probabilists and statisticians, a poster session where local researchers will exhibit their work and a public lecture to close the day.
|8:30-9:00||Check-in for registered participants|
|12.20-1:45||Lunch on your own (posters are put up)|
|2:40-4:00||Posters with refreshments|
|5:30-7:00||Terry Speed (Public Lecture)|
Terry Speed is head of the Bioinformatics Division of the Walter and Eliza Hall Institute of Medical Research (WEHI) in Melbourne, Australia and Professor (Emeritus) of Statistics at the University of California, Berkeley. Professor Speed's research interests lie in the application of statistics to genetics and genomics, and to related fields such as proteomics, metabolomics and epigenomics. Together with his students and colleagues, he has developed methods of analysis now in daily use in research laboratories worldwide underpinning many of the recent advances in medical research. This work has helped to identify areas of the human genome that contribute to cancer, genes that are vital for embryonic development, and pinpointing malaria proteins responsible for initiating infection in human red blood cells. He is a Fellow and former President of the Institute of Mathematical Statistics and a Fellow of the Australian Academy of Science. His awards include the Pitman Medal and the Australian NHMRC Achievement Award for Excellence in Health and Medical Research. He was recently recognized for his pioneering work with the award of Australia's Victoria Prize for Science and Innovation in the Life Sciences.
David Aldous is Professor in the Statistics Dept at U.C. Berkeley, since 1979. He received his Ph.D. from the University of Cambridge in 1977. His research in probability has covered weak convergence, exchangeability, Markov chain mixing times, continuum random trees, stochastic coalescence, and spatial random networks. A central theme has been the study of large finite random structures, obtaining asymptotic behavior as the size tends to infinity via consideration of some suitable infinite random structure. He has recently become interested in articulating critically what mathematical probability says about the real world. His awards include the Rollo Davidson Prize and the Loeve Prize. He is a Fellow of the Institute of Mathematical Statistics, the American Mathematical Society, the Royal Society, the American Academy of Arts and Sciences, and he is a foreign associate of the National Academy of Sciences.
Fan Chung Graham is Professor of Mathematics and Professor of Computer Science and Engineering at the University of California, San Diego. She is also the Paul Erdos Professor in Combinatorics. She grew up in Taiwan and earned her Ph.D. in Mathematics from the University of Pennsylvania in 1974. She then worked for 20 years at Bell Labs and Bellcore in the area of combinatorics. In 1994 she returned to the University of Pennsylvania as the Class of 1965 Professor of Mathematics, then joined the faculty of the University of California at San Diego in 1998. Her research interests are primarily in graph theory, combinatorics, and algorithmic analysis. She specializes in spectral graph theory, extremal graph theory and quasi-randomness. Recently her work includes probabilistic analysis of complex networks and random walks with applications to ranking algorithms. She was awarded the Allendoerfer Award by the Mathematical Association of America in 1990. She is a Fellow of the American Mathematical Society and a Fellow of the American Academy of Arts and Sciences.
Peter Hall is an Australian Research Council Laureate Fellow at the Department of Mathematics and Statistics, University of Melbourne, and also holds a fractional appointment as Professor of Statistics at the University of California, Davis. Originally from Australia, Peter Hall earned his D.Phil. degree from the University of Oxford in 1976. He then returned to Australia, first to the University of Melbourne before taking, in 1978, a position at the Australian National University. In November 2006, he moved back to the University of Melbourne. Peter Hall is among the world's most prolific and highly-cited authors in both probability and statistics. His research in statistics has included contributions to nonparametric statistics, in particular curve estimation and resampling: the bootstrap method, smoothing, density estimation, and bandwidth selection. He has worked on numerous applications across fields of economics, engineering, physical sciences, and biological sciences. In probability theory, he has made contributions to limit theory, spatial processes, and stochastic geometry. His awards include the Lyle and Hannan Medals, the George Szekeres Medal, the Guy Medal in Silver and most recently, the Samuel Wilks award. Peter Hall is a Fellow and former President of the Institute of Mathematical Statistics, a former President of the Bernoulli Society, a Fellow of the Australian Academy of Science, and the Royal Society.
Iain Johnstone is Marjorie Mhoon Fair Professor in Quantitative Science in the Department of Statistics at Stanford University. He holds a joint appointment in biostatistics in Stanford’s School of Medicine. He received his Ph.D. in Statistics from Cornell in 1981. His research has used ideas from harmonic analysis, such as wavelets, to understand noise-reduction methods in signal and image processing. More recently, he has applied random matrix theory to the study of high-dimensional multivariate statistical methods, such as principal components and canonical correlation analysis. A native of Australia, Johnstone is a member of the U.S. National Academy of Sciences and the American Academy of Arts and Sciences and a former President of the Institute of Mathematical Statistics.
Scott Sheffield has been Professor of Mathematics at MIT since 2008, following a faculty appointment at the Courant Institute of Mathematical Sciences at New York University. He earned his Ph.D. in mathematics from Stanford University in 2003. His research is in probability theory and concerns geometrical questions that arise in such areas as statistical physics, game theory, and metric spaces, as well as long-standing problems in percolation theory. A Sloan fellow and NSF Faculty CAREER awardee, Sheffield received the 2006 Rollo Davidson prize for work on spatial models of probability theory and especially their relationship to stochastic (Schramm) Loewner evolutions. He received the Presidential Early Career Award for Scientists and Engineers in 2009. In 2011 he was selected for the Line and Michel Loeve International Prize in Probability, awarded by U.C. Berkeley every two years, "to recognize outstanding contributions by researchers in probability who are under 45 years old."