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| Past Events: Information about past events organized by Stanford SIAM can be found here.
Upcoming/Current Events: To highlight the role of mathematics in climate change research at
Stanford and to commemorate the 2009 Mathematics Awareness Month,
Stanford SIAM has gone green!
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We are pleased to announce and to cordially invite the Stanford community to the  2009 MATHEMATICS AWARENESS MONTH: MATHEMATICS & CLIMATE
The lecture series will consist of four lectures, held on
This event is free of charge! Food and refreshments provided! More information can be found here as well as below.
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THURSDAY, APRIL 23, 2009 Dr. David Lobell Senior Research Scholar, Woods Institute for the Environment, Stanford University Modeling the Effects of Climate Change on Food Production [PDF]
David Lobell is a Senior Research Scholar in the Program on Food Security and Environment. His research focuses on quantifying the risks that climate changes pose to crop production and food security, and identifying attractive adaptation options that can reduce these risks. This work includes modeling climate changes in agricultural regions, particularly the changes resulting from land use activities, and modeling the response of cropping systems to climate.
A second area of active research is the application of remote sensing, GIS, crop models, and climate forecasts to agricultural decision making at a range of spatial scales. Much of this research is aimed at identifying opportunities for reducing the gap between average and potential yields in major agricultural regions. His current remote sensing projects include studies in Northwest and Central Mexico, the Northern Great Plains, and South Asia.
Prior to his current appointment, Dr. Lobell was a Lawrence Post-doctoral Fellow at Lawrence Livermore National Laboratory from 2005-2007. In addition to the Lawrence Fellowship, he is a past recipient of EPA, NASA, and NSF Graduate Research Fellowships. He received a PhD in Geological and Environmental Sciences from Stanford University in 2005, and a Sc.B. in Applied Mathematics, Magna Cum Laude from Brown University in 2000.
THURSDAY, APRIL 30, 2009
Dr. Paul Switzer Professor of Statistics, Stanford University Modeling Concurrent Time Series of Air Pollution and Mortality
Paul Switzer is a statistician working on problems associated with environmental monitoring, design of environmental sampling strategies, detection of trends in environmental quality, and assessment of human exposure to environmental pollutants.
He teaches courses for both graduate and undergraduate students in the EESS Department, the Statistics Department. and the undergraduate Earth Systems Program.
He obtained his Undergraduate degree in Mathematics (Honors) from the University of Manitoba,
and then went to Harvard University to complete a Master and Ph.D. in Statistics.
Among the most recent award he received can be found the Griffiths Award of the International
ssociation for Mathematical Geology (2006), the 20th Century Distinguished Service Award
[Environmental Statistics], Lukacs Symposium (2001) and the Distinguished Achievement Medal,
American Statistical Association, Section on the Environment (1993).
Professor Switzer is currently a member of the editorial boards of the Journal of Statistical Planning and Inference, Stochastic Environmental Research and Risk Assessment, and Atmosphere Environment. He is also an elected fellow of the American Statistical Association, the Institute for Mathematical Statistics, and the Royal Statistical Society. He has been an editor for the Journal of the American Statistical Association and Statistical Science in the past as well. Finally, Professor Switzer has been an elected member of the council of the International Statistical Institute (2001-04).
THURSDAY, MAY 7, 2009
Professor Tchelepi is an Associate Professor in the School of Earth Sciences here at Stanford.
He obtained his B.S and M.S degrees in Petroleum Engineering from King Fahd University of
Petroleum and Minerals in Dhahran, Saudi Arabia. He then went to Stanford and graduated with a Ph.D. in Petroleum Engineering. His dissertation work was on unstable miscible flows in heterogeneous porous media.
His research interests include Adaptive multiscale methods for reservoir simulation,
The modeling unstable fluid flow in porous media, scalable, parallel linear solvers for multiphase flow in heterogeneous reservoirs together with stochastic methods, including statistical moment equations, for quantifying the uncertainty associated with predictions of reservoir flow performance.
Before joining Stanford, Professor Tchelepi worked for many years at Chevron Petroleum Techonology Co. where he was a Senior Research Scientist.
THURSDAY, MAY 14, 2009
Margot Gerritsen’s area of expertise is in the computer simulation of
fluid flow processes. Her areas of interest include reservoir processes,
coastal ocean dynamics and aerodynamics. Margot currently holds a faculty position
in the Department of Energy Resources Engineering in the School of Earth Sciences at Stanford.
She holds courtesy positions in Mechanical Engineering and Civil and Environmental Engineering,
and teaches courses in applied mathematics, reservoir simulation, and energy processes.
In her spare time, Margot runs a podcast site on energy issues at
www.smartenergyshow.com, and enjoys spending time with her son in the outdoors.
Margot earned an M.Sc. in Applied Mathematics from the University of Technology in Delft,
Netherlands, and a Ph.D. in Scientific Computing and Computational Mathematics from Stanford.
Before coming back to Stanford, she held a faculty position at the University of Auckland, New Zealand.
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