Less interaction in interacting particle systems: random Fourier features for Kernel Fisher-Rao Flow
Conference Presentation, SIAM Conference on Mathematics of Data Science, Atlanta, Georgia
Talks and presentations
See a map of all the places I've given a talk!
Dynamic Transport for Sampling: Kernel Fisher-Rao Flow and Beyond
Talk, Applied Numerical Analysis Seminar, Virginia Tech, Blacksburg, VA
Dynamic Transport in High Dimensions: How do we get it to work?
Talk, Workshop on Numerical Methods for Complex High-Dimensional Systems, Jervis Bay, NSW, Australia
I enjoyed discussing and learning about challenges in high-dimensional uncertainty quantification at this workshop in Jervis Bay, Australia. My thanks to the organizers for including me!
Dynamic Transport for Sampling: Kernel Fisher-Rao Flow and Beyond
Talk, Queensland University of Technology Centre for Data Science & School of Mathematical Sciences, Brisbane City, QLD, Australia
I had a lovely time visiting the Centre for Data Science at QUT and spoke about our work on dynamic transport for sampling while there. Many thanks to my hosts there and to the seminar audience for great questions and feedback!
Sampling in Unit Time with Kernel Fisher-Rao Flow
Talk, Mathematics of Machine Learning Seminar at UMass Amherst, Amherst, MA
I spoke about our Kernel Fisher-Rao Flow sampling algorithm during a visit to the Department of Mathematics and Statistics at UMass Amherst. My thanks to my hosts in the department for the invite and the enjoyable visit!
Sampling in Unit Time with Kernel Fisher-Rao Flow
Conference Presentation, SIAM Conference on Uncertainty Quantification, Trieste, Italy
I spoke about our Kernel Fisher-Rao Flow sampling algorithm as part of the Computational Transport minisymposium at SIAM UQ24. My thanks to the organizers for the invite!
Riemannian Multifidelity Covariance Estimation from Statistically Coupled Observations
Talk, MIT Aerospace Computational Science and Engineering Lab Seminar, Cambridge, MA
I gave a talk about our work on Riemannian multifidelity covariance estimation as part of the Spring 2023 ACSEL Seminar Series at MIT.
Riemannian Multifidelity Covariance Estimation from Statistically Coupled Observations
Conference Presentation, SIAM Conference on Computational Science and Engineering, Amsterdam, NL
I gave a talk about our work on Riemannian multifidelity covariance estimation as part of the “Recent Advances in Data Assimilation and Uncertainty Quantification” minisymposium at SIAM CSE23. My thanks to the organizers for the invite!
Riemannian Multifidelity Covariance Estimation from Statistically Coupled Observations
Talk, Dartmouth College Department of Mathematics, Hanover, NH
I gave a talk about our recent work on Riemannian multifidelity covariance estimation (preprint forthcoming!) while visiting some colleages at Dartmouth.
Multifidelity Covariance Estimation Three Ways
Conference Presentation, SIAM Conference on Uncertainty Quantification, Atlanta, GA
I gave an overview presentation about my master's work on multifidelity covariance estimation.
Better to Marry Renewables than Burn Fossil Fuels with Passion
Conference Presentation, MAA Mathfest, Denver, CO
Arianna Krinos and I were invited to present on our winning submission to the 2018 Mathematical Contest in Modeling. We enjoyed being in Denver and meeting Ben Fusaro, the founder of the MCM.
Parameter and Uncertainty Estimation for a Model of Atmospheric CO2 Observations
Talk, Virginia Tech Department of Mathematics, Blacksburg, VA
Arianna Krinos and I gave a talk on our atmospheric CO2 modeling work as part of the Department of Mathematics' annual Layman Undergraduate Research Competition. We had a fun time presenting together and won first place!