Talks and Posters

MSRNE Generative Modeling & Sampling Workshop, contributed talk. “Unique Recovery of Transport Maps and Vector Fields from Finite Measure-Valued Data.” (August 2026)

SIAM UQ, minisymposium on measure flows for inverse problems and machine learning. “Invariant Measures for Data-Driven Dynamical System Identification.” (March 2026)

Sandia National Laboratories, seminar talk. “Measure Transport for Data-Driven Dynamical System Identification and State Reconstruction.” (January 2026)

Yale University, Lu Group. “Measure Transport for Modeling Dynamical Systems: Data-Driven System Identification and State Reconstruction.” (December 2025)

Yale University, Krishnaswamy Lab. “Measure Transport for Modeling Dynamical Systems: System Identification and State Reconstruction.” (December 2025)

SIAM NNP, minisymposium on modeling and computation of transport problems. “Invariant Measures for Data-Driven Dynamical System Identification.” (November 2025)

Interdisciplinary Scientific Computing Laboratory Seminar (remote). “Measure Transport Techniques for Modeling Dynamical Systems: Data-Driven System Identification and State Reconstruction.” (September 2025)

UCSD Mathematics of Information, Data, and Signals Seminar. “Measure Transport Techniques for Modeling Dynamical Systems: Data-Driven System Identification and Attractor Reconstruction.” (May 2025)

SIAM Conference on Applications of Dynamical Systems, minisymposium on learning with dynamical systems and their observable statistics. “Invariant Measures for Data-Driven Dynamical System Identification.” (May 2025)

Oberwolfach Workshop on Computational Multiscale Methods. “Invariant Measures for Data-Driven Dynamical System Identification.” (April 2025)

SIAM Conference on Computational Science and Engineering, minisymposium on stable prediction of dynamical systems. “Invariant Measures in Time-Delay Coordinates for Unique Dynamical System Identification.” (April 2025)

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 Identification.” (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)

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 (third-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 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 and Astronomy Colloquium (virtual). “Juggling Dynamics.” (November 2021)

Physics Today Webinar, Editor Series (virtual). “Juggling Dynamics.” (August 2021)

Amherst College thesis defense. “An Introduction to 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)