Daniel J. Schaid

Dr. Daniel J. Schaid is a Professor of Biostatistics and Chair of the Department of Quantitative Health Sciences at Mayo Clinic (2020–present). He leads the Statistical Genetics and Genetic Epidemiology Laboratory, focusing on developing statistical methods and software for analyzing genetic data in complex diseases. His work bridges computational biology, genomics, and clinical research.

Education: PhD in Biostatistics (University of Pittsburgh), MS in Human Genetics (University of Pittsburgh), BS in Biology (St. Vincent College).

Research Focus

Dr. Schaid’s research spans:

• Quantitative methods for integrating omics data (e.g., genomics, transcriptomics)
• Polygenic risk scores for diseases like prostate cancer, breast cancer, and cardiovascular disease
• Genetic epidemiology of immune response and drug efficacy

His collaborations include the NIH-funded PRIMED Consortium and eMERGE network, advancing diverse population genetics.

Awards

• Fellow, American Statistical Association (2009)
• Leadership Award, International Genetic Epidemiology Society (2008)
• Curtis L. Carlson Family Professorship (2007)

Labs & Teams

He directs the Statistical Genetics and Genetic Epidemiology Lab at Mayo Clinic, developing open-source software tools for genetic analysis.