Andrew Siegel, ANL

Andrew Siegel is a senior scientist at Argonne National Laboratory, with appointments in both the Mathematics/Computer Science and Nuclear Engineering divisions. For the past decade, he has led Argonne’s program in advanced reactor modeling and simulation. His research has focused on developing improved methods to model the physics of advanced reactors, including mixing, neutron/fluid coupling, and innovative computational approaches to stochastic methods for neutron transport.

Andrew has taught more than 60 courses at the University of Chicago over the past 20 years, including high performance computing, numerical methods, stochastic simulation, and computer architecture. He holds an undergraduate degree from the University of Chicago and a PhD in astrophysics from the University of Colorado at Boulder. For the past 9 years, Andrew has also held the position of Resident Dean of Burton-Judson at the University of Chicago.

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