Shayana Saravanakumar
Shayana Saravanakumar
I am a Ph.D. student in the BISI: CBBG program, working with Dr. Brian Pierce at IBBR. My research focuses on understanding the molecular basis of T cell receptor recognition through predictive modeling.
Interactions between T cell receptors (TCRs) and antigens presented by major histocompatibility complexes (MHCs) trigger immune responses. I study how the structure of TCR-antigen-MHC complexes shape these interactions by developing specialized deep learning algorithms to model complex structures and predict TCR specificity for their targets. My work aims to expand our ability to predict, understand, and engineer TCRs for personalized medicine and other therapeutic applications.
Advisor(s)
Latest Papers
Structural insights into clonal restriction and diversity in T cell recognition of two immunodominant SARS-CoV-2 nucleocapsid epitopes
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Nature Communications
Author(s): Ping Yuan, Guodong Chen, Yukun Li, et. al
UMD Author(s): Shayana Saravanakumar
The Use of In Silico Methods to Identify and Assess Antigenic Regions Suitable for the Development of Peptide-based Pan-viral Vaccines
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Alternatives to Laboratory Animals
Author(s): Shayana Saravanakumar, Jhinuk Chatterjee
UMD Author(s): Shayana Saravanakumar
A Comparison of Machine Learning Models for Survival Prediction of Patients with Glioma Using Radiomic Features from MRI Scans
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Indian Journal of Radiology and Imaging
Author(s): Madhumitha Manjunath, Shayana Saravanakumar, Shreya Kiran, et. al
UMD Author(s): Shayana Saravanakumar