Invited talks
EcoSta 2025, Aug 2025
Deep Neural Network for Functional Graphical Models Structure Learning
ICSA 2025 Applied Statistics Symposium, Jun 2025
Multi-class Classification for Complex Functional Data with Simultaneous Feature Selection
SRCOS Summer Research Conference, Jun 2025
Deep Neural Network for Functional Graphical Models Structure Learning
Dr. Bing Zhang Department of Statistics, University of Kentucky, Apr 2025
Advancing Functional Data Analysis with Deep Learning
MCBIOS 2025, Mar 2025
Deep Neural Network for Functional Graphical Models Structure Learning
De-Biasing AI Data for Health Disparity Analyses and Training, NSF South Hub, Jan 2025
The Many Approaches to De-Biasing AI Training Data: How are they chosen? / Overview of AI Software Stack
FDAWG, Department of Biostatistics, Columbia University, Feb 2025
Advancing Functional Data Analysis with Deep Learning
EcoSta 2024, July 2024
Inference for Quantile Mediation Effects in the Presence of Complex Confounding via Deep Neural Networks
UofL Research Town Hall, May 2024
Leveraging an AI Approach for Estimation and Inference on High-dimensional Mediation Analysis for Selecting DNA Methylation Loci Mediating Childhood Trauma and Cortisol Stress Reactivity
Statistics and Data Science Seminar, DMS, Auburn University, Apr 2024
Inference on High-dimensional Mediation Analysis with Convoluted Confounding via Deep Neural Networks
Department of Mathematics and Statistics, Texas Tech University, Dec 2023
Subgroups and Multiple Changepoints Detection of Natural Disease History for Huntington’s Disease
JSM 2023, Aug 2023
High-dimensional Mediation Analysis via Deep Neural Networks
EcoSta 2023, Aug 2023
Quantile Mediation Analysis with Convoluted Confounding Effects via Deep Neural Networks
the 64th ISI World Statistics Congress, July 2023
High-dimensional Mediation Analysis via Deep Neural Networks
ICSA 2023 Applied Statistics Symposium, June 2023
Multiclass Classification for Multidimensional Functional Data through Deep Neural Networks
the 36th New England Statistics Symposium, June 2023
Multiclass Classification for Multidimensional Functional Data through Deep Neural Networks
Department of Mathematics and Statistics, Texas Tech University, Apr 2023
High-dimensional Quantile Mediation Analysis via Deep Neural Networks
Department of Mathematics and Statistics, Auburn University, Oct 2021
Optimal Classification for Functional Data
ICSA 2021 Applied Statistics Symposium, Sept 2021
Optimal Classification for Functional Data
Department of Mathematical Sciences, Indiana University-Purdue University Indianapolis, Sept 2021
Functional Data Regression via Deep Neural Networks
Statistics and Data Science Seminar, DMS, Auburn University, Feb 2021
Estimation of the Mean Function of Functional Data via Deep Neural Networks
Department of Mathematics and Statistics, Auburn University, Feb 2021
Estimation of the Mean Function of Functional Data via Deep Neural Networks
ICSA 2020 Applied Statistics Symposium, Dec 2020
Empirical Likelihood Ratio Tests for Varying Coefficient Geo Models
Service
Treasurer, ASA Kentucky Chapter, 2024 - present
Session organizer/chair:
ENAR Invited Session, Mar 2026
Statistical Foundations for Trustworthy AI in Biomedical Data Analysis
ENAR Invited Session, Mar 2025
Interdisciplinary Innovations in Biomedical Data Analysis