Associate Professor, Statistics, College of Arts and Sciences

Dr. Sinnott’s research centers on developing powerful statistical and machine learning tools to address clinical questions using genetic and genomic data. She is particularly interested in risk prediction and collaborates closely with TopCap, an international team of prostate cancer researchers.

Department: Arts and Sciences
COP: CHLS CoP
Interests: prostate-cancer risk-prediction statistics informatics-biomedical learning-machine