I'm the director of the Master's Program at Statistical Science at Duke University. I joined Duke after spending ten years at SAS Institute as a machine learning researcher. My research focuses on Statistical Machine Learning, specifically using best linear unbiased predictors for efficient feature engineering, confidence regions for hyperparameter tuning, generalized additive models for intelligible machine learning models, and other statistical methods for model interpretability and validation. I also have a patent for automated machine learning.
I am passionate about mentoring and advising students and supporting women in the data science community by creating learning and networking opportunities through partnerships with leading companies and accomplished professionals.