Annie Qu was trained as a computational mathematician and had not analyzed data until she was introduced to statistics in graduate school. Suddenly, all the numbers and programming were meaningful and there were interesting stories behind them. This was just the beginning of her journey in data science research. Since then, she has worked on tensor learning for optical breast cancer imaging data, network data, deep learning, active learning, crowdsourcing, and personalized medicine. Doing something new and cutting-edge has always been exciting for her and keeps her motivated.
Shanghai
Kelly H. Zou
Zou is a native of Shanghai, and her work on receiver operating characteristic analysis has led to her being the recipient of the Stauffer Award for the best article published in Academic Radiology. She has received multiple prizes in the ASA Biopharmaceutical Section’s poster competitions and Statistical Significance contests and held a number of leadership roles.