Machine Learning Models Identify Inhibitors of New Dehli Metallo-B-Lactamase
Contributed talk, Joint Statistical Meetings, 2024, Toronto, Canada
Selected Talks and Presentations
Comparing Supersaturated Design with Exact Screening Probabilities
Invited talk, ASA/IMS Spring Reserach Conference, 2023, Banff, Canada
Strategies for Supersaturated Screening: Group Orthogonal and Constrained Var(s+) Designs
Invited Talk, European Network of Business and Industrial Statisticans Fall Meeting, 2021, Virtual
Response Surface Models: To Reduce or Not to Reduce?
Invited talk, INFORMS, 2020, Virtual
Stop Treating Supersaturated Designs Like other Screening Desings
Contributed talk, Joint Statistical Meetings, 2020, Virtual
Supersaturated Designs: Research-based Best Practices and the Future
Invited Talk, European Network of Business and Industrial Statisticans Fall Meeting, 2019, Budapest, Hungary
One-Class Peeling for Outlier Detection in High Dimensions
Contributed Talk, Joint Reserach Conference, 2018, Santa Fe, New Mexico
Analyzing Supersaturated Designs
Invited Talk, Joint Statistical Meetings, 2017, Baltimore, Maryland
A Meta Analysis of Response Surface Designs
Invited Talk, Spring Reserach Conference, 2016, Chicago, Illinois
An Overview of Statistical Learning in Process Monitoring
Invited Talk, Quality and Productivity Research Conference, 2016, Raliegh, North Carolina