Ryan McClarren
Chief Science Officer, Farsite

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Ryan’s role with farsite is to take the totality of data science and statistics and guide our analysts to create insight for your high-consequence decisions. Part of this job requires in-depth expertise, both to know how to produce results as well as to know what is possible. The other part is listening to you to understand how our analysis will have the most impact.

Originally in high-performance computation for nuclear engineering application, he earned his undergraduate degree and PhD from the University of Michigan. Due to the stochastic nature of many nuclear processes, Ryan naturally began working in statistics, at first in Monte Carlo simulations. While at Los Alamos National Laboratory and as a faculty member at Texas A&M University, Ryan became a recognized expert in statistical methods for quantifying and reducing uncertainty in computer simulations.

Sessions

Michael Gold (Farsite), Ryan McClarren (Farsite)
Average rating: ***..
(3.00, 6 ratings)
Big data initiatives often begin with a pilot project. This can generate internal support to invest in larger big data initiatives. Nevertheless, executing pilot projects can be difficult, and many pilots don’t convert into larger big data projects. In this session we’ll explore the challenges of big data pilots and suggest ways to plan and execute a successful pilot. Read more.
Office Hour, Rhinelander North (Table A)
Michael Gold (Farsite), Ryan McClarren (Farsite)
Michael Gold, COO, Farsite & Ryan McClarren, Chief Science Officer, Farsite Read more.

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