Matthew Zawistowski

Matthew Zawistowski is a Clinical Associate Professor in the Department of Biostatistics at the University of Michigan School of Public Health. He completed his PhD and postdoctoral training at the University of Michigan, focusing on statistical genetics and population genetics. His work bridges Electronic Health Records (EHRs) with genomic data through the Michigan Genomics Initiative (MGI).

• Education:
  • PhD in Biostatistics, University of Michigan (2011)
  • MS in Biostatistics, University of Michigan (2007)
  • MS in Mathematics, Lehigh University (2005)
  • BS in Mathematics, Saint Joseph's University (2003)

Zawistowski’s research focuses on statistical genetics, precision medicine, and EHR-based phenotyping. He develops methods for analyzing genetic variants in large-scale sequencing studies and explores how polygenic risk scores can inform disease prediction and treatment strategies.

His publications highlight expertise in polygenic risk modeling, meta-analysis, and genomic data integration. Key collaborations include the MGI and the BRIDGES Consortium, with applications in cancer, diabetes, and psoriasis genetics.

Scientific awards:

• 2022 SPH Excellence in Teaching award