We are excited to add Prof. Yubei Chen of the Department of Computer Science as the newest member of GGAM! Chen’s research sits at the intersection of computational neuroscience and deep unsupervised learning.

Graduate students Kelli Gutierrez and Jon Forstater were honored with Best Poster Awards at the 2025 SIAM Northern California Chapter (SIAM NCC) meeting. Their work showcases the depth, creativity, and interdisciplinary reach of research happening in our graduate program.

We are excited to add Prof. Ricardo Masini of the Department of Statistics as the newest member of GGAM! Prof. Masini's research focuses on theoretical statistics, where mathematics, particularly probability theory, plays a crucial role.

We are excited to add Prof. Leonor Saiz of the Department of Biomedical Engineering as the newest member of GGAM! Some of Prof. Saiz's current research topics include: computational biophysics, systems biology, gene regulation modeling, signal transduction networks, multiscale modeling, non-equilibrium dynamics, statistical mechanics, stochastic processes, machine learning, high-dimensional dynamical systems.

Joshua Petrack, Ph.D. student in Applied Mathematics, has won the Best Student/Postdoc Poster Award at DNA31 in Lyon, France! His work, co-authored with Professor David Doty, introduces the first exact algorithm for simulating chemical reaction networks in sublinear time per reaction—a major leap in molecular programming.

Lauren Mossman, Ph.D. student in Applied Mathematics, has been awarded the prestigious Simons Dissertation Fellowship for her groundbreaking research on ecosystem dynamics and species interactions. Her innovative modeling work offers new insights into habitat change, resilience, and ecological management.

After five years of development, UC Davis professor Matthias Köppe has reengineered the open-source math software SageMath—ushering in a modular future with the release of Passagemath 10.5.29.

We are excited to add Prof. Dogyoon Song of the Department of Statistics as the newest member of GGAM! Some of Prof. Song's current research topics include optimization theory, high-dimensional statistics, deep learning theory, and causal inference.