About

Research Interests

Statistics; Bayesian methods for data science, big data and analytics; bioinformatics; biostatistics.

Erin Conlon develops Bayesian statistical methods for data science, big data and analytics. Her research interests also include gene expression and DNA sequence analysis, Bayesian models for the analysis of genomic data and comparative genomics. Application areas include climate change and breast cancer genomics.