Statistical Methods Used in Risk Analysis
Bruce Reistle, MS
Data Analysis Lead, NASA
Adjunct Professor, University of Houston
Bruce Reistle has a B.S. and M.S. in Mathematics from Virginia Tech and a Master of Operations Research from North Carolina State. Mr. Reistle worked for Intel as a facility design analyst and later joined SAIC as a reliability analyst serving predominantly as a reliability analyst for Shuttle projects. In 2007, Bruce joined the JSC S&MA Analysis Branch as the Data Lead. In this role, he is responsible for PRA data including collection, analysis, and structure. Bruce also develops Monte Carlo models such as the Ascent Debris Assessment Model, which assesses the probability of having a critical damage to the Orbiter’s lower surface tiles; and the Low Level Cutoff model, which determines the probability of prematurely depleting the liquid hydrogen supply and hence requiring use of the Engine Cutoff sensors. At NASA, he has received the several agency and JSC commendations and achievement awards.
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