Erin Conlon

Erin Conlon is a Professor and Director of Stat MS Graduate Admissions at the University of Massachusetts Amherst (Mount Ida Campus). She develops Bayesian statistical methods for data science, big data analytics, and genomic data analysis, with applications in climate change and cancer genomics.

Education includes PhD and MS from University of Minnesota, and BS from University of Wisconsin-Madison. She directs the Statistics Master's program at the Newton Mount Ida Campus, featuring flexible evening/remote learning options.

Research focuses on Bayesian computational methods for big data, parallel MCMC algorithms, and bioinformatics applications. Publications include R packages for Bayesian modeling and statistical methods for genomic data integration.