Talks

03/2025: Southeastern Atlantic Section of SIAM (SIAM-SEAS 2025), Knoxville, TN, "Reducing Structural Errors in Score Estimation of the Ensemble Score Filter for Nonlinear Data Assimilation with Partial Observation".

03/2025: SIAM Conference on Computational Science and Engineering (CSE25), Fort Worth, TX, "Hybrid Diffusion Models for Sampling High-Dimensional Multi-Modal Probability Distributions".

10/2024: SIAM Conference on Mathematics of Data Science (MDS24), Atlanta, GA, "An Ensemble Score Filter for Tracking High-Dimensional Nonlinear Dynamical Systems".

10/2024: SIAM Conference Texas-Louisiana Section 7th Annual Meeting, Baylor University, TX, "An Ensemble Score Filter for Tracking High-Dimensional Nonlinear Dynamical Systems".

10/2024: AMS 2024 Fall Southeastern Sectional Meeting, Savannah, GA, "Transferable Neural Networks for Elasticity Problems with Interface".

04/2024: The Eleventh Annual Graduate Student Miniconference in Computational Mathematics, Clemson University, SC, "Transferable neural networks for partial differential equations".

04/2024: AMS 2024 Spring Eastern Sectional Meeting, Howard University, Washington D.C., "An ensemble score filter for tracking high-dimensional nonlinear dynamical systems".

03/2024: AMS 2024 Spring Southeastern Sectional Meeting, Tallahassee, FL, "Transferable neural networks for partial differential equations".

10/2023: AMS 2023 Fall Southeastern Sectional Meeting, Mobile, AL, "Transferable neural networks for partial differential equations".

08/2023: The 10th International Congress on Industrial and Applied Mathematics, Tokyo, Japan (Virtual), "TransNet: Transferable neural networks for partial differential equations".

03/2023: SIAM Southeastern Atlantic Section Annual Meeting, Blacksburg, VA, "Transferable neural networks for partial differential equations".

12/2022: The Tenth Graduate Student Miniconference in Computational Mathematics, Auburn, AL, "Spectral ReLU: a smooth generalization of ReLU in functional space".

10/2022: AMS 2022 Fall Southeastern Sectional Meeting, Chattanooga, TN, "A generalized deep neural network model via weight and bias reparameterization".

04/2022: SIAM Conference on Uncertainty Quantification,  Atlanta, GA (Virtual), "An adaptive kernel method for solving optimal filtering problems".

10/2025: Colloquium talk, Department of Mathematics, Florida State University, "Generative AI for Data Assimilation – A Score-Based Diffusion Approach".

05/2024: Seminar talk, Computer Science and Mathematics Division, Oak Ridge National Laboratory, "Score-based filter for nonlinear data assimilation".

11/2022: Seminar talk, Department of Mathematics, Florida State University, "Spectral ReLU: a smooth generalization of ReLU in functional space".

10/2021: Seminar talk, Department of Mathematics, Florida State University, "Nonlinear filtering with Gaussian mixture models".