Frank Alexander
Deputy Director, Computational Science Initiative
Brookhaven National Laboratory
Computational Science Initiative
Bldg. 725
P.O. Box 5000
Upton, NY 11973-5000
(631) 344-4899
falexander@bnl.gov
Prior to joining Brookhaven National Laboratory in 2017, Francis “Frank” Alexander spent nearly 20 years at Los Alamos National Laboratory, finishing his tenure as the acting division leader of the lab’s Computer, Computational, and Statistical Sciences (CCS) Division. At Los Alamos, he grew in several leadership roles, including serving as deputy leader of CCS Division’s Information Sciences Group and leader of the Information Science and Technology Institute. Frank was introduced to the DOE national laboratory complex during his postdoctoral work with Los Alamos’ Center for Nonlinear Studies and the Institute for Scientific Computing Research at Lawrence Livermore National Laboratory. He also was a research assistant professor at Boston University’s Center for Computational Science. Frank has led many research projects and has published more than 50 papers in peer-reviewed journals.
Research | Education | Appointments | Publications
Research Activities
- Optimal Design of Experiments
- Computational Physics
- Nonequilibrium Statistical Mechanics
Education
- Ph.D., Physics, Rutgers, The State University of New Jersey, 1991
- B.S., Physics and Mathematics, The Ohio State University, 1987
Professional Appointments
Brookhaven National Laboratory
- 2017-Present, Deputy Director, Computational Science Initiative
Los Alamos National Laboratory
- February 2016-January 2017, Acting Division Leader—Computer, Computational and Statistical Sciences (CCS) Division
- 2010-2016, Deputy Division Leader—CCS Division
- 2012-2015, Institute Leader, Information Science and Technology Institute
- 2008-2012, Center Leader, Information Science and Technology Center
- 2007-2008, Group Leader, Information Sciences Group (CCS-3)
- 2002-2006, Deputy Group Leader, Modeling, Algorithms and Informatics Group (CCS-3)
- 2000-2006, Team Leader, Information Physics and Modeling Team
- 1998-2017, Technical Staff Member
- 1991-1993, Postdoctoral Researcher, Center for Nonlinear Studies
Boston University
- 2000-2002, Adjunct Associate Professor, Center for Computational Science
- 1995-1998, Research Assistant Professor, Center for Computational Science
Lawrence Livermore National Laboratory
- 1993-1995, Postdoctoral Researcher, Institute for Scientific Computing Research
Selected Publications
- Lookman T, Alexander FJ, Bishop AR (2016) Perspective: Codesign for materials science: An optimal learning approach. APL Materials 4:053501. doi: 10.1063/1.4944627
- Lookman T, Alexander FJ, Rajan K (2016) Information Science for Materials Discovery and Design. Springer Series in Materials Science. doi: 10.1007/978-3-319-23871-5
- Lookman T, Alexander FJ, Rajan K (2016) Information Science for Materials Discovery and Design. Springer Series in Materials Science. doi: 10.1007/978-3-319-23871-5
- Taverniers S, Haut TS, Barros K, Alexander FJ, Lookman T (2015) Physics-based statistical learning approach to mesoscopic model selection. Physical Review E. doi: 10.1103/physreve.92.053301
- Alexander FJ, Meneveau C (2015) Open Simulation Laboratories [Guest editors' introduction]. Computing in Science & Engineering 17:7–9. doi: 10.1109/mcse.2015.99
- Taverniers S, Alexander FJ, Tartakovsky DM (2014) Noise propagation in hybrid models of nonlinear systems: The Ginzburg–Landau equation. Journal of Computational Physics 262:313–324. doi: 10.1016/j.jcp.2014.01.015
- Alexander FJ (2013) Machine Learning [Guest editor's introduction]. Computing in Science & Engineering 15:9–11. doi: 10.1109/mcse.2013.107
- Alexander FJ, Lookman T (2013) Novel Approaches to Statistical Learning in Materials Science. Informatics for Materials Science and Engineering 37–51. doi: 10.1016/b978-0-12-394399-6.00003-5
Brookhaven National Laboratory
Computational Science Initiative
Bldg. 725
P.O. Box 5000
Upton, NY 11973-5000
(631) 344-4899
falexander@bnl.gov
