​Emilia is an Associate Professor in the Department of Ecology and Evolutionary Biology and the Director of the Center for Computational Molecular Biology (CCMB) at Brown University. Emilia is interested in integrating theoretical, computational and statistical modeling to address questions in human evolutionary biology.  Her current research interests involve scanning human genomes from different populations to detect mutations in genes that have helped humans adapt to different environments like different diets, temperatures, pathogens and altitudes.

She completed her PhD in Applied Mathematics with Rick Durrett and Carlos Bustamante at Cornell University. Her postdoc was at the University of California Berkeley in the Departments of Statistics and Integrative Biology where she worked with Rasmus Nielsen. Before moving to Brown University, she was a faculty member at the University of California Merced.

​Emilia is an Associate Professor in the Department of Ecology and Evolutionary Biology and the Director of the Center for Computational Molecular Biology (CCMB) at Brown University. Emilia is interested in integrating theoretical, computational and statistical modeling to address questions in human evolutionary biology.  Her current research interests involve scanning human genomes from different populations to detect mutations in genes that have helped humans adapt to different environments like different diets, temperatures, pathogens and altitudes.

She completed her PhD in Applied Mathematics with Rick Durrett and Carlos Bustamante at Cornell University. Her postdoc was at the University of California Berkeley in the Departments of Statistics and Integrative Biology where she worked with Rasmus Nielsen. Before moving to Brown University, she was a faculty member at the University of California Merced.

Professor Ramachandran addresses problems in evolutionary theory and human population genetics. The Ramachandran Lab uses mathematical modeling, applied statistical methods, and computer simulations to make inferences about evolutionary history from present-day samples of genomes. They particularly focus on developing new methods for identifying adaptive genomic elements, characterizing genetic pathways underlying common diseases, and determining features of human population histories from genetic data. Professor Ramachandran is an Alfred P. Sloan Research Fellow, a Pew Scholar in the Biomedical Sciences, and the recipient of both an NSF CAREER award and multiple grants from the National Institutes of Health.