Andrew Dahl

Andrew Dahl is an Assistant Professor in the Department of Medicine-Genetic Medicine at the University of Chicago. His research focuses on developing computational methods to discover and characterize genetic heterogeneity in complex diseases, with applications to asthma, major depressive disorder, single cell omics, and cross-population portability of genetic predictions.

Dr. Dahl received his education from the following institutions:

• PhD in Genomic Medicine and Statistics from Oxford University (2016)
• MS in Statistics from University of Chicago (2012)
• Honors BS in Mathematics from University of Chicago (2012)
• BA in Economics from University of Chicago (2012)

Dr. Dahl's research centers on computational approaches to discover and characterize context-specific genetic effects on complex disorders. His lab develops methods for gene-environment interaction, gene-gene interaction, and identifying genetic subtypes of disease. The group particularly focuses on applications to asthma, major depressive disorder, single cell omics, and cross-population portability of genetic predictions, with the long-term goal of advancing equitable precision treatment by embracing the full diversity of human contexts.

Analysis of Dr. Dahl's publications reveals a strong focus on statistical genetics methodology, particularly in understanding genetic heterogeneity, disease subtyping, and context-specific heritability. His work spans multiple domains including psychiatric genetics, functional genomics, and evolutionary biology, with a consistent emphasis on developing robust computational methods to address challenges in complex trait analysis.

Dr. Dahl has received the following scientific awards:

• Clarendon Scholarship from Oxford University (2012-2016)
• Phi Beta Kappa from University of Chicago (2012)

Dr. Dahl leads the Dahl Lab at the University of Chicago, which focuses on statistical genetics methodology. The lab develops computational methods to discover and characterize genetic heterogeneity in complex diseases. They are actively recruiting students and postdocs from the Human Genetics (HG) and Genetic Genomics Sciences Bridge (GGSB) PhD programs. Current research projects include new clustering algorithms for finding biologically meaningful subtypes, statistical interaction tests to validate subtypes, and applications in psychiatric, metabolic, and immune domains using rich phenotypes and large biobanks.