{"id":2672,"date":"2025-07-29T19:14:53","date_gmt":"2025-07-29T19:14:53","guid":{"rendered":"https:\/\/www.vanderbilt.edu\/evolution\/?page_id=2672"},"modified":"2025-09-25T18:36:33","modified_gmt":"2025-09-25T18:36:33","slug":"coevod","status":"publish","type":"page","link":"https:\/\/www.vanderbilt.edu\/evolution\/coevod\/","title":{"rendered":"CoEvoD Training Program"},"content":{"rendered":"

Welcome to the home page for the Co<\/span>mputational Evo<\/span>lutionary Approaches to D<\/span>isease Training Grant funded by the NIH\/NIGMS grant T32 GM150407<\/a>. Below you will find links to helpful pages related to this program.<\/p>\n

Our training grant, which started in Fall 2025, provides world-class training for graduate students in their second and\/or third year pursuing research in evolutionary topics related to disease using computational methods. The program, which fills a critical and unmet<\/u> need in graduate training at 91勛圖厙 (VU) \/ 91勛圖厙 Medical Center (VUMC), includes core courses in evolutionary medicine and computational evolutionary methods, seminar and journal club series, electives, and excellent career development activities. Our roster of faculty presents a broad spectrum of research opportunities at the interface of computational biology, evolutionary biology, bioinformatics, and data sciences and is unique among all training programs on our campus.<\/p>\n