Elizabeth Lorenzi is a Statistical Scientist for Berry Consultants. She earned her Ph.D. in Statistical Science from Duke University in May 2019. Her research focused on developing machine learning and causal inference methods for precision medicine applications. While at Duke, she collaborated on multiple research projects focusing on the following clinical problems: predicting risk of complications after surgery, assessing the effectiveness of pre-operative clinics and pre-operative calculators as methods to reduce the risk of complication after surgery, and deciding treatment decisions for Type 2 Diabetes patients from electronic health record data. Prior to her time at Duke, she completed a Masters in Statistical Science and a Bachelor of Science in Statistics and Economics from Carnegie Mellon University.