Workshop:
Explorations in Statistics Research
Date: Saturday, June 13 to Saturday , June 20, 2009
Location: U.C. Berkeley
Speakers
Jasjeet S. Sekhon
is Associate Professor of Political Science at
University of California, Berkeley. His current research focuses on methods
for causal inference in observational and experimental studies and evaluating
social science, public health and medical interventions. Professor Sekhon
has done research on elections, voting behavior and public opinion in the
United States, multivariate matching methods for causal inference, machine
learning algorithms for irregular optimization problems, robust estimators
with bounded influence functions, health economic cost effectiveness analysis,
and the philosophy and history of inference and statistics in the social
sciences.
Chris Volinsky
is Director of the Statistics Research Department at AT&T
Research in Florham Park, N.J. Chris got his PhD from the University of
Washington in 1997 studying Bayesian Model Averaging. He joined AT&T Researchi
in 1997 and became Director of the Statistics Research Department in 2004.
His research at AT&T focuses on large scale data mining: recommender systems,
social networks, statistical computation, and anomaly detection. Chris was on
the team that won $50,000 Progress Prizes in 2007 and 2008 as part of the
Netflix Prize competition, a $1M open competition to build the best
recommendation algorithm using Netflix data.
Claudia Tebaldi is a Research Scientist at Climate Central, Princeton,
NJ, a new non-profit organization dedicated to the synthesis and
communication of the science and the solutions of climate change. Her
research focuses on the analysis and statistical characterization of
climate change projections and their uncertainty, as derived from
climate models, especially at the regional scale. She is particularly
interested in the relation between climate models performance in
simulating current climate and the reliability of their simulations of
future climate. She is a contributing author of IPCC AR4, for Chapter
10, Global Climate Projections, and Chapter 11, Regional Climate
Projections, by Working Group I and Chapter 2, New Assessment Methods
and the Characterization of Future Conditions, by Working Group II.
Claudia got her PhD in Statistics from Duke University, then completed
a post-doctoral appointment at the National Center for Atmospheric
Research in Boulder, CO where she subsequently worked as a project
scientist for 8 years, and where she is still based as a visiting
scientist, collaborating with NCAR climate scientists and
statisticians.
Last modified: Jun 10 2009
