Current Lab Members:

• Adam Bolton (expected, 2023 co-advised with Arnab Maity) Optimal Design and Analysis for Calibration Experiments

• Kasia Dobrzycka (expected, 2023) Advances in Bayesian Multi-Objective Optimization

• Nicholas Larsen (expected, 2023, co-advised with Srijan Sengupta) New Approaches to Online Controlled Experiments

• Kade Young (expected, 2023) Optimal Design for Penalized Estimation

Graduated Lab Members:

• Michael McKibben (2022) On the Importance of Variance Estimation for Variable Selection in Screening Experiments

• Ethan Davis (2022) New Approaches to Constructing and Evaluating Data Subsamples for Large and Dynamic Data Structure

• Julia Holter (2022) New Approaches to Tuning Parameter Selection in Penalized Estimation

• Rebecca North (2021) Topics on Functional Variable Selection with Application to EMG Data Analysis

• Katherine Allen (2020) New Approaches for Crossover and Screening Optimal Design

• Munir Winkel (2018, co-advised with Brian Reich) New Applications of Sequential Experimental Design

• Md Nazmul Islam (2018, co-advised with Ana-Maria Staicu) Functional Data Analysis with Applications in Animal Science and Biomedical Engineering