Former KL2 Scholar
David Schneider, MD, MS, is an Assistant Professor in the Department of Surgery at UW-Madison. His health services research focuses on improving the care of thyroid cancer patients via integration of diverse data types using machine learning. Integration of clinical, demographic, imaging, and molecular factors can improve triage to surgery or observation for patients with indeterminate thyroid nodules. This work will improve the clinical decision making capability of both patients and providers so that patients can receive the appropriate extent of treatment without additional or unnecessary surgery.
Schneider also carries out outcomes research to improve the care of patients with thyroid, parathyroid, and adrenal disorders. This work involves both clinical research databases and population level databases. He has experience working with SEER, SEER-Medicare, and the NSQIP datasets. He has an interest in using machine learning techniques for medical decision making.
Schneider’s KL2 mentors are Elizabeth Burnside, MD, MPH, MS (Department of Radiology), Caprice Greenberg, MD, MPH (Department of Surgery), and Mark Craven, PhD (Department of Biostatistics and Medical Informatics).