David Vock

David Vock is a Professor at the University of Minnesota in the Division of Biostatistics & Health Data Science. His research focuses on statistical methods for electronic health data, causal inference, dynamic treatment regimes, and clinical trial design.

• PhD in Statistics, North Carolina State University (2012)
• MStat in Statistics, North Carolina State University (2009)
• BA in Mathematics and Chemistry, St. Olaf College (2007)

His work integrates machine learning with traditional statistical approaches to analyze censored data in healthcare settings. He specializes in SMART clinical trials for adaptive interventions and semiparametric theory applications. Collaborative projects span transplantation, infectious disease, and cardiovascular research.

Recent publications emphasize COVID-19 biomarker analysis, monoclonal antibody efficacy, and health data interoperability. These studies appear in high-impact journals like New England Journal of Medicine and Lancet Microbe.

Scientific contributions have earned him membership in the Delta Omega Honorary Society in Public Health. Collaborations include the ACTIV-3/TICO Study Group and interdisciplinary teams in data science and clinical research.