Determining the causes and consequences of human genetic variation,
using population genetics, statistics, and evolutionary theory

Sam (left) and Wei (middle) receiving their PhDs at Brown University's 2022 Commencement Exercises; Sahar (right) attended to support them.

The Ramachandran Lab crew at the 2022 fall retreat in Newport. L to R: Cecile (rotating student), Brina, Cole, Elsie, and Carlos.

Celebrating Sahar's thesis defense on April 1, 2021!

The height distribution of the Ramachandran Lab, September 2018 (celebrating Priya; missing postdoc Kate Brunson).

Sohini gives an invited talk at SMBE 2023 on learning genetic trait architecture, in the beautiful City Theatre in Ferrara, Italy.

A meta-selfie outside our current home, Watson CIT at Brown

Dinner during the 2018 lab retreat in St. George Maine.

Research in the Ramachandran lab addresses problems in population genetics and evolutionary theory, generally using humans as a study system. Our work uses mathematical modeling, applied statistical methods, and computer simulations to make inferences from genetic data. We answer questions like: what loci are under strong adaptive selection in the human genome? are there genetic pathways we can identify that underlie common diseases such as diabetes? does genetic variation account for some ethnic disparities in disease incidence and outcome? what features of human demographic history can we infer from genetic data alone?

Our research and a subset of lab members are currently funded by multiple grants from the National Institutes of Health.