Tony Drummond, Ph.D., 
Professor of Computational Sciences

  • Accredited highest European academic degree, Habilitation à Diriger des Recherches (HDR) in Versailles, France
  • Research Scientist at the Lawrence Berkeley National Laboratory
  • Served on a variety of grant review panels, including the Department of Energy (DOE), the National Science Foundation (NSF), the Association of Computing Machinery, and the Society for Industrial (ACM) and Applied Mathematics (SIAM)
  • Fulbright Scholar fluent in English, Spanish, and French

Tony Drummond is a computational scientist with academic accomplishments and publications in scientific computing and high-performance computing. He worked at the Lawrence Berkeley National Laboratory for more than 16 years and prior to that at the Atmospheric and Oceanic Sciences department at UCLA under a grant funded by NASA Scientific Grand Challenge Investigations. He has held adjunct faculty positions at the Computational Sciences Research Center at the San Diego State University and the Information Systems and Computation department at the University of Valencia, Spain. He is a Fulbright scholar with a Ph.D. from the Institut National Polytechnique de Toulouse and a M.S. from the University of Tulsa. In 2014, he was accredited the Habilitation à Diriger des Recherches (HDR) in Computational Sciences from the University of Versailles, France.

For over a decade, Professor Drummond has taught numerous short graduate and undergraduate courses in high-performance numerical linear algebra and parallel computing in the United States, Europe, Latin America, and Asia, and spearheaded mentoring programs to increase participation of underrepresented groups in computational sciences. He has served on several scientific committees and reviewing panels for the U.S. Department of Energy, The National Science Foundation, and several conferences in computational sciences and applied mathematics. Professor Drummond’s teaching style focuses on understanding the fundamentals of computational sciences that not only enable us to describe and address today’s problems but also to build on language, formulations, and more holistic XXI century solutions to world problems. Minerva’s revolutionary, interdisciplinary, and multicultural approaches to education galvanize the ideal classroom where students are constantly invited to create and bring their own experiences from the world they live in. Professor Drummond teaches the Structure: Mathematical and Computational Models core course and the Contemporary Applied Mathematics concentration course.