Current Research

David primarily collaborates on projects involving hematologic malignancies, mainly assessing survival outcomes, efficacy of various treatments, bone marrow transplant outcomes, as well as infection rates. He also works on analyzing prostate cancer treatments and outcomes using SEER-Medicare data. His research interests include predictive modeling through machine learning and patient-reported outcomes. David is also a member of the Bridge to Biostats committee.