# Enabling data-driven discoveries in evolutionary genetics and genomics

## TL;DR

This paper honors Sudhir Kumar for his contributions to evolutionary genetics and the development of key software and resources for genetic analysis.

## Contribution

Kumar's novel contributions include the creation and advancement of MEGA and TimeTree, which have enabled data-driven discoveries in evolutionary genetics.

## Key findings

- Kumar's work has led to computationally efficient tools for analyzing large genetic datasets.
- The MEGA software and TimeTree resource have become essential for the genetics research community.
- His innovations address the increasing need for scalable and environmentally friendly genetic analysis methods.

## Abstract

The George W. Beadle Award honors individuals who have made outstanding contributions to the community of genetics researchers as a whole and led an exemplary research career. The 2025 awardee is Sudhir Kumar from Temple University, who has not only pushed the intellectual frontier of evolutionary genetics but has also served the community through numerous contributions to creating, disseminating, maintaining, and advancing invaluable software for molecular evolutionary genetics analyses (MEGA) and a web-accessible resource for species divergence times (TimeTree). In the essay below, Kumar traces the initiation and evolution of these resources and explains how these developments have driven his research program to develop computationally efficient and environmentally friendly innovations to address the growing need to analyze increasingly larger sequence data sets.