
I am an assistant professor in the Graduate Program in Operations Research and Industrial Engineering
(ORIE), which is within the Department of Mechanical Engineering, at The University of Texas at Austin (
CV).
I also hold a courtsey appointment in the Department of Petroleum
and Geosystems Engineering (PGE). In addition to
these appointments, I am a fellow in the Center for International
Energy and Environmental Policy (CIEEP) and the Center for Petroleum
Asset Risk Management (CPARM).
I h
old MS and PhD degrees in
Engineering-Economic Systems from
Stanford
University. Before returning to academia, I was a senior engagement manager and co-director of
client education for
Strategic Decisions Group.
My research and teaching interests are broadly focused i
n
the area of decision making under uncertainty. My primary
application area is in the energy arena. I am Chair of RPSEA's (a
DOE program) Ultra-deepwater Environmental, Safety, and
Regulatory Technical Advisory Committee. My research has been funded
by the NSF, DOE, NETL, and private companies. In 2009, I was
fortunate enough to be awarded an NSF CAREER grant.
My work has been featured in the
New York Times,
The Wall Street
Journal, the
Financial Times,
Bloomberg,
National Public Radio, and
in dozens of local and regional media sources. In addition, this
work is featured in the documentary
Cool It. This
work was part of the Copenhagen Consensus on Climate Project and was
selected by a panel of economists, including four Nobel Laureates,
as the best response to climate change. You can learn more
here. Here is my Internet Movie
Database
page.
Some, that have not been exposed to
quantitative decision-making or risk-analysis methods, may question
the value of quantitative methods. As a counter example, consider
Chevron Oil Corporation (one of the top-ten largest companies in the
world). In this
video,
Chevron Vice Chairman, George Kirkland explains
how Chevron uses decision analysis to make every major decision. Mr.
Kirkland states that "Decision analysis is a part of how Chevron
does business, for a simple reason--IT WORKS."
Watch this Stanford/UT
webinar featuring my presentation on
Decision Quality.
Do you watch The Weather Channel and wonder how accurate their
precipitation forecasts are? This
paper summarizes my study of over
13 million precipitation forecasts. You can use the tables I include
below to convert The Weather Channel's precipitation forecasts into
observed frequencies. To use the tables you simply look up the
forecasted probability of precipitation (PoP) given by The Weather
Channel on the horizontal axis and then read down the rows to adjust
for the length of forecast. For example, a 5-day lead-time is a
forecast for 5 days from today.
Central (KY, IL, IN, MO, OH, TN, and WV):
Table
East North Central (IA, MI, MN, and WI):
Table
Northeast (CT, DE, ME, MD, MA, NH, NJ, and NY):
Table
South (AK, LA, KS, MS, OK, and TX):
Table
Southeast (AL, FL, GA, NC, SC, and VA):
Table
Southwest (AZ, CO, NM, and UT):
Table
West (CA and NV): Table
West North Central (MT, NE, ND, SD, and WY):
Table