In the podcast, Jessica discusses her paper "Statistical Hypothesis Testing versus Machine Learning Binary Classification". She noticed several high-impact cancer research papers using multiple hypothesis testing for binary classification problems. Concerned that these papers had no guarantee on their claimed false discovery rates, she and co-author Xin Tong wrote a perspective article about clarifying hypothesis testing and binary classification to scientists.