David Schneider

Dr. David Schneider is an Assistant Professor in the Department of Surgery (Endocrine Division) at the University of Wisconsin School of Medicine and Public Health. His research focuses on improving clinical decision-making through informatics tools, including machine learning and natural language processing applied to surgical outcomes and endocrine care. He leads the Dr. Schneider’s Lab, which collaborates with the Wisconsin Surgical Outcomes Program to optimize surgical care for endocrine conditions like hyperparathyroidism and thyroid cancer.

Education: MD, MS (degree details not explicitly stated in provided texts, but inferred from lab staff listing). His work emphasizes data-driven approaches to address challenges such as delayed diagnosis of hyperparathyroidism, post-thyroidectomy hormone management, and disparities in healthcare access.

Research interests include:

• Machine learning for predictive analytics in surgery
• NLP applications for clinical data extraction
• Quality improvement in endocrine surgery
• Healthcare equity analysis

Grants and Awards:

• AAES Paul LoGerfo Award (2018–2019)
• ICTR Novel Methods Pilot Award (2019–2021)

Labs/Teams: Principal Investigator of the Schneider Lab, which develops tools like the Thyroid Hormone Dosing App to aid clinical decisions. Collaborates with multidisciplinary teams on surgical quality improvement initiatives.