Andrea Bertozzi
  • Email
    andrea.bertozzi@cgu.edu
  • Website
    https://www.math.ucla.edu/~bertozzi/
  • Degrees
    AB, Mathematics, Princeton University
    MA, Mathematics, Princeton University
    PhD, Mathematics, Princeton University
  • Research Interests
    Nonlinear Partial Differential Equations, Thin Films and Moving Contact Lines, Fluid Dynamics, Image Processing, Swarming dynamics, High dimensional data analysis

Andrea Bertozzi is an applied mathematician with expertise in nonlinear partial differential equations and fluid dynamics. She also works in the areas of geometric methods for image processing, social science modeling, and swarming/cooperative dynamics. Bertozzi completed all her degrees in Mathematics at Princeton. She was an L. E. Dickson Instructor and NSF Postdoctoral Fellow at the University of Chicago from 1991-1995. She was the Maria Geoppert-Mayer Distinguished Scholar at Argonne National Laboratory from 1995-6. She was on the faculty at Duke University from 1995-2004 first as Associate Professor of Mathematics and then as Professor of Mathematics and Physics. She has served as the Director of the Center for Nonlinear and Complex Systems while at Duke. Bertozzi moved to UCLA in 2003 as a Professor of Mathematics. From 2005 to 2025 she served as Director of Applied Mathematics, overseeing the graduate and undergraduate research training programs at UCLA. In 2012 she was appointed the Betsy Wood Knapp Chair for Innovation and Creativity.

Bertozzi is an elected member of the US National Academy of Sciences, an elected member of the American Academy of Arts and Sciences, and a Fellow of the American Mathematical Society, the American Physical Society, and the Society for Industrial and Applied Mathematics. Her other honors include the Sloan Research Fellowship in 1995, the Presidential Early Career Award for Scientists and Engineers in 1996, and SIAM’s Kovalevsky Prize in 2009. She won a SIAM outstanding paper prize in 2014 with Arjuna Flenner, for her work on geometric graph-based algorithms for machine learning. Bertozzi is a Thomson-Reuters/Clarivate Analytics “highly cited” Researcher in mathematics for both 2015 and 2016, one of about 100 worldwide in her field. She was awarded a Simons Math + X Investigator Award in 2017, joint with UCLA’s California NanoSystems Institute (CNSI). Bertozzi was appointed Professor of Mechanical and Aerospace Engineering at UCLA in 2018, in addition to her primary position in the Mathematics Department. In July 2019 she was awarded SIAM’s Kleinman Prize, which recognizes contributions that bridge the gap between high-level mathematics and engineering problems. The award is based on the quality and impact of the mathematics. In Spring 2023 she was appointed to UCLA’s faculty mentoring honor society for her role in mentoring early to mid career faculty at UCLA.

Bertozzi has served on the editorial boards of fourteen journals. She served as Chair of the Science Board of the NSF Institute for Computational and Experimental Research in Mathematics at Brown University from 2010-2014 and previously on the board of the Banff International Research Station. She served on the Science Advisory Committee of the Mathematical Sciences Research Institute at Berkeley from 2012-2016.

To date she has graduated 60 PhD students and has mentored over 50 postdoctoral scholars. She has published over 320 peer-reviewed papers, she has given almost 500 invited lectures, and she has been awarded over 80 research grants by funding agencies including the National Science Foundation, the Department of Energy, the Office of Naval Research, the Air Force Office of Scientific Research, and the Defense Advanced Research Projects Agency (DARPA).

Z. Tan, T.D. Aslam, A.L. Bertozzi, “Explicit monotone stable super-time-stepping methods for finite time singularities,” SIAM Journal on Applied Mathematics, to appear (2025), https://arxiv.org/abs/2507.17062.

P. Climaco, N.M. Mitchell, M.J. Tyler, K. Yang, A.M. Andrews, A.L. Bertozzi, “GMFOLD: Subgraph matching for high-throughput DNA-aptamer secondary structure classification and machine learning interpretability,” Mathematical Biosciences, 387, 109485 (2025).

B. Chen, K. Miller, A.L. Bertozzi, J. Schwenk, “CGAP: A hybrid contrastive and graph-based active learning pipeline to detect water and sediment in multispectral images,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 446-462 (2024).

E. Hester, S. Carney, V. Shah, A. Arnjeim, B. Patel, D. Di Carlo, A.L. Bertozzi, “Fluid dynamics alters liquid-liquid phase separation in confined aqueous two-phase systems,” Proceedings of the National Academy of Sciences, 120, e2306467120 (2023).

D. Yang, Y. Ge, T. Nguyen, D. Molitor, J. Moorman, A. Bertozzi, “Structural equivalence in subgraph matching,” IEEE Transactions on Network Science and Engineering, 10, 1846-1862 (2023).

A.L. Bertozzi, E. Franco, G. Mohler, M.B. Short, D. Sledge, “The challenges of modeling and forecasting the spread of COVID-19,” Proceedings of the National Academy of Sciences, 117, 16732-16738 (2020).