Brendon G. Anderson
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Brendon G. Anderson Assistant Professor
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I am currently looking for undergraduate and graduate students to join my research projects. Highly motivated students with strengths in mathematics and computer programming are especially encouraged to reach out. Students from outside of Mechanical Engineering are also welcome, as my research is inherently cross-disciplinary. If you are interested in learning more, please email me!
About
I am interested in the development and analysis of safe and reliable computational methods by applying rigorous mathematics to interdisciplinary problems in the areas of machine learning, optimization, control theory, and game theory. My latest projects surround provable safety for neural networks using robust optimization theory, stability guarantees for infinite-dimensional evolutionary games using functional analysis, and robust control of distributed systems using optimal transport theory. I encourage you to look at my publications for more details.
Fun fact: I have an Erdős number of \(3\) (Paul Erdős \(\sim\) Fan Chung \(\sim\) Andrea L. Bertozzi \(\sim\) Brendon G. Anderson).
News
March 2025: Our group member, Walker Waite, was awarded the 2025 Undergraduate Research Opportunity Program (UROP) scholarship from the California Space Grant Consortium. Congrats, Walker!
March 2025: I am ecstatic to announce that I received the 2025–2026 Research, Scholarly and Creative Activities (RSCA) grant (23% proposal acceptance rate).
March 2025: I served as a reviewer for the Proceedings of the Royal Society (Series A).
March 2025: I served as a reviewer for the International Conference on Machine Learning (ICML), and for the ICML Workshops.
February 2025: I served as a reviewer for the Journal of Machine Learning Research (JMLR).
January 2025: I am excited to have two amazing students, Ben Sager and Walker Waite, join our research group!
December 18, 2024: I am giving a talk at the IEEE Conference on Decision and Control on our paper ‘‘Approximately Gaussian replicator flows: Nonconvex optimization as a Nash-convergent evolutionary game.’’
December 2, 2024: I was featured in a Cal Poly College of Engineering Faculty Spotlight interview.
November 1, 2024: I am giving a talk in the Cal Poly Mathematics Colloquium series: ‘‘Mathematics of AI safety: The power of convexity in a highly nonconvex world.’’
October 22, 2024: I am giving a talk in the Cal Poly Mechanical Engineering Graduate Seminar series (ME 563): ‘‘Provably robust machine learning through structure-aware computation.’’
September 2024: Our paper ‘‘Approximately Gaussian replicator flows: Nonconvex optimization as a Nash-convergent evolutionary game’’ has been accepted for publication at the 2024 IEEE Conference on Decision and Control.
September 2024: I have joined the Mechanical Engineering Department at California Polytechnic State University as an Assistant Professor.