Keshav Motwani
Undergraduate Fellow


Keshav Motwani is a freshman at UF majoring in math with minors in computer science and health disparities in society. He works on applying machine learning and bioinformatic approaches to T-cell receptor repertoires with a goal of developing classification tools to help with diagnosis of type 1 diabetes and understanding the sequence-level motifs that are associated with type 1 diabetes.


  • The T cell receptor CDR3β contains sequence motifs that predict disease state in nPOD samples – Oral presentation and poster presentation at 2018 nPOD Annual Meeting