Talks
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes
AAAI Bridge on Knowledge-guided Machine Learning: Bridging Scientific Knowledge and AI, 2025
New Frontiers In Adaptive Experimental Design For Multi-objective Optimization
Oregon State University, 2023
Adaptive Experimental Design for Multi-Objective Optimization: An Output Space Entropy Search Framework
Harvard University, 2023
Adaptive Experimental Design for Multi-Objective Optimization: An Output Space Entropy Search Framework
New York University, 2023
Adaptive Experimental Design for Multi-Objective Optimization: An Output Space Entropy Search Framework
University of California Berkeley, 2023
Adaptive Experimental Design for Multi-Objective Optimization: An Output Space Entropy Search Framework
California Institute of Technology, 2023
Recent Advances in Bayesian Optimization
AAAI Tutorial (with Jana Doppa and Aryan Deshwal), 2023
Adaptive Experimental Design for Multi-Objective Optimization: Novel Problems, Algorithms, and Applications
Washington State University, 2022
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization
IBM Research, 2022
Bayesian Optimization: From Foundations to Advanced Topics
AAAI Tutorial (with Jana Doppa and Aryan Deshwal), 2022
Fast Multi-Objective Optimization for Electrified Aviation Power System Design
IEEE Energy Conversion Congress and Exposition (ECCE) (with Derek Jackson) 2020