Dr. David Orrell
David Orrell, Ph.D. is a scientist and author of popular science
books. He studied mathematics at the University of Alberta, and obtained
his Ph.D. from Oxford University on the prediction of nonlinear
systems.
His work in mathematical modeling and complex
systems research
has led him to diverse areas such as
weather forecasting, particle
accelerator design, economics, and cancer biology. He has authored or
coauthored
research papers for journals including Journal of the
Atmospheric Sciences, Nature Genetics, the International Journal of
Bifurcations and Chaos, and Physica D.
He is the author of
The Other Side of the Coin: The Emerging Vision of
Economics and Our Place in The World about new economic
theories; and
The Future of Everything: The Science of
Prediction about prediction in weather, genetics, and economics,
which
was a national bestseller and finalist for the 2007 Canadian Science
Writers’ Association book award.
Foresight called it “An engaging, as
well
as deeply insightful, discussion on the difficult task of prediction …
it can change the way you view forecasting.”
David has been a guest on radio shows including
Coast to Coast AM, NPR,
and BBC, and his work has been featured in print media such as
New
Scientist and the Financial Times. He has spoken at many conferences
and
events including the Art Center Global Dialogues on
Disruptive Thinking.
He currently lives in Oxford, UK, where he works for a biotechnology
firm.
David authored
Estimating error growth and shadow behavior in nonlinear dynamical
systems,
Filtering chaos: A technique to estimate dynamical and observational
noise in nonlinear systems, and
Ensemble forecasting in a system with model error,
and coauthored
Feedback control of stochastic noise in the yeast galactose
utilization
pathway,
A method to estimate stochastic noise in large genetic regulatory
networks,
Evolution of “design principles” in biology and engineering,
and
The spectral bifurcation diagram: Visualizing bifurcations in
high-dimensional systems.
Listen to David talk about
The Science of Prediction.
Read
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