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Alejandro Strachan
Reilly Professor of Materials Engineering
School of Materials Engineering
Neil Armstrong Hall of Engineering
701 West Stadium Avenue
West Lafayette, IN 47907-2045

BRK: (765) 496-3551
ARMS: (765) 494-6406
FAX: (765) 494-1204
strachan@purdue.edu
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Alejandro Strachan is the Reilly Professor of Materials Engineering at Purdue University, the Co-Director of nanoHUB, and Purdue's Office of Research Fellow for Intelligent Twins and Digital Innovation. Before joining Purdue, he was a Staff Member in the Theoretical Division of Los Alamos National Laboratory and worked as a Postdoctoral Scholar and Scientist at Caltech. He received a Ph.D. in Physics from the University of Buenos Aires, Argentina. Prof. Strachan's research focuses on predictive atomistic and multiscale models grounded on first principles to advance our ability to understand, design, and deploy materials. His recent work integrates machine learning and artificial intelligence with physics-based modeling to tackle critical scientific and engineering challenges in areas such as energy, electronics, and manufacturing. In addition, Strachan's scholarly work includes cyberinfrastructure to make simulations, models, and data widely accessible and useful in research and education to accelerate innovation. nanoHUB has served over 200,000 simulation users and reached 800+ US institutions of higher education. Prof. Strachan has published over 200 peer-reviewed scientific papers and his contributions to research and education have been recognized by several awards, including the Early Career Faculty Fellow Award from TMS in 2009, an R&D 100 award in the category of software and services for nanoHUB (2020), and the Reilly Chair Professorship in 2023.

Education

Ph.D., Physics University of Buenos Aires, Argentina 1998
B.Sc., Physics University of Buenos Aires, Argentina 1995

Professional Employment

Reilly Professor of Materials Engineering Purdue University 2023–present
Professor, School of Materials Engineering Purdue University 2013–present
Visiting Professor École Polytechnique Fédérale de Lausanne (EPFL), Switzerland 2016
Associate Professor, School of Materials Engineering Purdue University 2010–2013
Visiting Professor Institute of High-Performance Computing, Singapore 2007
Assistant Professor, School of Materials Engineering Purdue University 2005–2010
Staff Member, Theoretical Division Los Alamos National Laboratory 2002–2005
Scientist Materials and Process Simulation Center, California Institute of Technology 2001–2002
Postdoctoral Scholar Materials and Process Simulation Center, California Institute of Technology 1999–2001
Graduate Teaching Assistant, Physics Department University of Buenos Aires, Argentina 1995–1999

Professional Experience

Research Fellow for Intelligent Twins and Digital Innovation Office of Research, Purdue University 2025–present
Co-Director, nanoHUB and chipshub platforms Online simulations, data, and education 2023–present
Member, International Advisory Board European Materials Modeling Council (EMMC) 2022–present
Founding Member, Governance Council Materials Research Data Alliance (MaRDA) 2020–present
Member, Scientific Advisory Committee University of California San Diego MRSEC Center 2021–present
Deputy Director, Network for Computational Nanotechnology and nanoHUB National Science Foundation 2013–2023
Director, MURI Center Predictive Chemistry and Physics at Extreme Conditions Department of Defense, Office of Naval Research 2016–2022
Member, Executive Editorial Board Modelling and Simulation in Materials Science and Engineering, IOP Publishing 2017–2023
Deputy Director, Center for Prediction of Reliability, Integrity and Survivability of Microsystems National Nuclear Security Administration, Predictive Science Academic Alliance Program 2011–2014
Site Lead and Chair, Steering Committee, NCN@Purdue Program National Science Foundation Network for Computational Nanotechnology 2008–2011

Honors and Awards

  • Reilly Professor of Materials Engineering, Purdue University, 2023
  • R&D100 2020 Winner — nanoHUB: making simulation and data pervasive
  • Richard E. Grace Best Faculty Research Grant, School of Materials Engineering, Purdue University, 2019
  • Reinhardt Schuhmann Jr. Undergraduate Teaching Award, School of Materials Engineering, Purdue University, 2017
  • Purdue Faculty Scholar, 2012–2017
  • Purdue University College of Engineering Faculty Excellence Award (Team Award: PRISM), 2009
  • TMS Early Career Faculty Fellow Award, 2009
  • Purdue University Teaching for Tomorrow Award, 2007
  • Reinhardt Schuhmann Jr. Undergraduate Teaching Award, School of Materials Engineering, Purdue University, 2007