We are looking for postdoctoral researchers, PhD students, and research interns (see openings) !
We design statistically principled methods, develop user-friendly software, and study the genetic basis of human diseases. We currently focus on integrative analysis of genetics and functional genomics data. Topics of interest include:
Identifying disease-critical cellular contexts through integrating GWAS and functional genomics.
Understanding the genetic architecture of human diseases and the underlying evolutionary driving forces through analyzing biobank-scale genetics data.
Understanding the causal relationship between genes and disease through analyzing GWAS, eQTL, and perturbation data.
We also develop general statistical and machine learning algorithms motivated by applications in genetics; topics include multiple hypotheses testing, multi-armed bandits, dimensionality reduction, empirical Bayes, and causal inference.
We received a grant from the Shurl and Kay Curci Foundation (SCS news). Thank you, the Curci Foundation!
8/24/2023LD-SPEC selected as a Reviewers' Choice Abstract (10%) at ASHG 2023.
8/13/2023Martin became an assistant professor at CMU Computational Biology.