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Franca Hoffmann's research focuses on the intersection of interface modeling and data-driven approaches, applying rigorous mathematical foundations to data analysis. Her work demonstrates how mathematical tools can be used effectively in various applications. Hoffmann completed her Bachelor of Science at Imperial College London in 2010, followed by a Master of Science in 2013 and a Ph.D. from the University of Cambridge in 2017. After serving as an instructor at Caltech from 2017 to 2020, she took on the role of Visiting Associate from 2020 to 2022 before becoming an Assistant Professor in 2022. Her rigorous approach in applied mathematics has significant implications for contemporary scientific problems.
California Institute of Technology • Pasadena, CA
Teaching and conducting research in applied mathematics, focusing on interface modeling and data-driven approaches.
California Institute of Technology • Pasadena, CA
Temporary role focusing on research in applied mathematics.
California Institute of Technology • Pasadena, CA
Conducted classes in applied mathematics.
Most Caltech graduate programs are PhD-only. GRE General and Subject tests vary by department; many have made them optional or no longer accept them.