Omics and Aging in Killfish

Advisors: Jose-Luis Ambite (Viterbi School of Engineering) , Berenice Benayoun (Leonard Davis School of Gerontology)
Students: Deven Panchac , Michael Mathew , Akansha Das , Suchetha Bhat , Shruti Krishna Kumar

Description

Students will analyze aging in the African turquoise killifish, a species with the shortest lifespan of all vertebrates. By analyzing multi-omic data over the lifetime of many individuals, we can begin to understand the cellular changes that reflect aging.

Students

Deven Panchac
Michael Mathew
Akansha Das
Suchetha Bhat
Shruti Krishna Kumar

Advisors

Jose-Luis Ambite
Berenice Benayoun

Skills Required by the team

Python
R
Machine Learning

Spring 2021