Keshav Motwani is a junior 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 the 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
- UF College of Medicine – 2019 University Scholar
- Barry M. Goldwater Scholarship & Excellence in Education Foundation – 2020 Scholar
- Motwani, K., Peters, L. D., Vliegen, W. H., El-Sayed, A. G., Seay, H. R., Lopez, M. C., … Brusko, T. M. (2020). Human Regulatory T Cells From Umbilical Cord Blood Display Increased Repertoire Diversity and Lineage Stability Relative to Adult Peripheral Blood. Frontiers in Immunology, 11. DOI: 10.3389/fimmu.2020.00611
- Khosravi-Maharlooei, M., Obradovic, A., Misra, A., Motwani, K., Holzl, M., Seay, H. R., … Sykes, M. (2019). Cross-reactive public TCR sequences undergo positive selection in the human thymic repertoire. Journal of Clinical Investigation, 129(6), 2446–2462. DOI: 10.1172/jci124358