Constructing feedback assisted robust biomolecular dynamical systems

Constructing feedback assisted robust dynamical systems

Abstract: The result of a few billion years of evolution: every living cell performs efficient computation in a complex environment by converting a multitude of chemical and physical inputs using linear or non-linear functions to generate diverse output responses that ultimately aid its survival. Aided by this natural blueprint, and motivated by the functionality of electronic computers, an important goal of nanotechnology and synthetic biology is to introduce engineering-level speed and precision in building biological circuits and devices for sensing and responding to complex environmental changes in controllable and autonomous ways. Inspired by this, I will be presenting my recent work on development of biomolecular integral feedback controller, modular protein signal exchange circuit and self-healing nanostructures. I will conclude this talk by presenting an overview of my future research plans on constructing diagnostic and therapeutic devices including mechanistic multiscale models of disease that will have the capabilities to address future challenges.



Deepak Agrawal received his M.S. degree in 2007 from IIT Madras, India, in microelectronics and then worked for Cypress Semiconductor as an integrated circuit designer until 2009. He received his PhD degree in engineering from the University of Cambridge, UK in 2013, where he was affiliated with the Nanoscience Centre. Since then, as a postdoctoral fellow, he worked on several projects related to synthetic and systems biology as an experimentalist and theorist. He is currently at the School of Medicine, University of Colorado Denver, USA where he is working with clinical data to assimilate acute respiratory distress syndrome phenotypes. His research interests include constructing new tools and devices for diagnostic and therapeutic applications, including multiscale disease models

Date & time

3–4pm 10 Feb 2020



Deepak Agrawal


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