Statistics at UC Berkeley: We are a community engaged in research and education in probability and statistics. In addition to developing fundamental theory and methodology, we are actively involved in statistical problems that arise in such diverse fields as molecular biology, geophysics, astronomy, AIDS research, neurophysiology, sociology, political science, education, demography, and the U.S. Census. We have forged strong interdisciplinary links with other departments and areas of study, particularly biostatistics, mathematics, computer science, and biology, and actively seek to recruit graduate students and faculty who can help to build and maintain such links. We also offer a statistical consulting service each semester.
Statistics at UC Berkeley
Oct 8, 2014
Jan 19, 2016
Prof. Nielsen's work on omega-3 fatty acids and genetic adaptations in the Inuit population featured in the New York Times.
Sep 23, 2015
Ezra Nahum, Goldman Sachs (Speaker - Featured)
Fabio Martinelli, Department of Mathematics and Physics, Roma Tre University
We will consider models of (2+1)-dimensional random surfaces at low temperature. The surface is described by a discrete height η_x ∈ Z attached to each vertex x of a L × L box Λ in Z^2. Outside the box the height is fixed to be zero...
John Cunningham, Columbia University
The remarkable computational abilities of our brains arise at the level of the interconnected neural population, and recent advances in recording technologies now allow direct analysis of this multivariate, time-series, population data. However, between this data and its scientific payoff is a current lack of necessary statistical testing methods. In particular, numerous hypotheses have arisen...
Florian Markowetz, Cancer Research UK, Cambridge Institute (Speaker)
Cancer has long been understood as a somatic evolutionary process, but many details of tumor progression remain elusive. Here, I will talk about computational methods to infer evolutionary pathways leading to tumour heterogeneity. I will start by discussing how to quantify intra-patient heterogeneity by rigorous analysis of copy-number profiles from multiple patient samples. Using a study in...
Yaniv Konchitchki, Haas Business School (Speaker - Featured)