Jeshwanth Mohan L&S Biological Sciences

Using dynamic networks to model multivariate time-evolution of the ANS

This project aims to explore the complex, multi-organ dynamics of the autonomic nervous system (ANS). While current research focuses on a single organ system, this work attempts to utilize multiple physiological signals, such as cardiac rhythms, sweat gland responses, and stomach muscle activity, to understand autonomic regulation across the body. By using a graph theoretic approach to build a dynamic network model for the ANS, we aim to develop a multivariate model that uncovers how different components of the ANS influence one another over time. This approach will reveal insights into physiological interactions, providing methods to personalize care and identify autonomic dysregulation allowing for targeted medical intervention.

Message To Sponsor

Thank you very much for supporting this research. Your investment and support allows me to work on bridging computational methods and our understanding of biology. With this incredible opportunity, I hope to explore an interesting topic and grow as a researcher.
Headshot of Jeshwanth Mohan
Major: Engineering Physics, Electrical Engineering & Computer Sciences (EECS), Molecular and Cell Biology
Mentor: Sandya Subramanian
Sponsor: Leadership
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