Talks and Posters

• SIAM Conference on the Mathematics of Data Science, minisymposium on fast and scalable Bayesian inference. “Measure-Theoretic Time-Delay Embedding.” (October 2024)

• SIAM Conference on the Mathematics of Data Science, poster presentation. “Invariant measures in time-delay coordinates for unique dynamical system identificaiton.” (October 2024)

• Cornell University Young Researchers Workshop, poster presentation. “Generative Modeling of Time-Dependent Densities via Optimal Transport and Projection Pursuit.” (October 2024)

• NDSEG Fellows Conference, poster presentation. “Learning dynamics on invariant measures using PDE-constrained optimization.” (July 2024)

• Cornell University Admission to Candidacy Exam. “Measure Theoretic Modeling of Dynamical Systems.” (May 2024)

• IPAM, International Conference on Multiscale Modeling and Simulation based on Physics and Data, poster presentation. “Learning dynamics on invariant measures using PDE-constrained optimization.” (April 2024)

• Cornell University Scientific Computing and Numerical Analysis (SCAN) seminar. “Learning dynamics on invariant measures using PDE-constrained optimization.” (December 2023)

• SIAM-NNP, contributed talk. “Learning dynamics on invariant measures using PDE-constrained optimization.” (October 2023)

• ICIAM, contributed talk (virtual). “Learning dynamical systems from invariant measures.” (August 2023)

• ETH-ITS workshop: Emerging topics in applications of optimal transport, poster presentation. “Generative modeling of time-dependent densities via optimal transport and projection pursuit.” (June 2023)

• NJIT Frontiers in Applied and Computational Mathematics (FACM) conference, poster presentation (3rd place prize). “Generative modeling of time-dependent densities via optimal transport and projection pursuit.” (May 2023)

• SIAM conference on applications of dynamical systems, contributed talk. “Generative modeling of time-dependent densities via optimal transport and projection pursuit.” (May 2023)

• BIRS workshop: New ideas in in computational inverse problems. “Learning dynamical systems from invariant measures.” (October 2022)

• SIAM annual meeting, minisymposium on machine learning for inverse problems and dynamical systems (virtual). “Learning dynamical systems with invariant measures.” (August 2022)

• UBC physics & astronomy colloquium (virtual). “Juggling dynamics.” (November 2021)

• Physics Today webinar, editor series (virtual). “Juggling dynamics.” (August 2021)

• Amherst College thesis defense. “An introductionto the theory of the ergodic partition.” (May 2021)

• Joint Mathematics Meetings (JMM), poster presentation (honorable mention, virtual). “An unstructured mesh approach to nonlinear noise reduction.” (January 2021)

• Southern California REU conference (virtual). “An unstructured mesh approach to nonlinear noise reduction.” (July 2020)

• UMass Amherst REU conference. “On a nonlinear random walk on graphs.” (July 2019)