Faculty

Aayush Kant

Aayush Kant
Designation
Assistant Professor
Education
Phd, IIT Bombay and Monash University
E-mail
akant@iitd.ac.in
Phone
01126591154
Office address
Block II, Room 288, Center for Biomedical Engineering, IIT Delhi
Research areas
Medical Imaging
Personal web page
mindlabiitd.github.io

Dr. Aayush Kant is an Assistant Professor at the Center for Biomedical Engineering, IIT Delhi with a joint appointment at the Department of Biomedical Engineering, AIIMS, Delhi. His research lies at the intersection of fundamental physical principles and complex biological systems. Using physics-based first principles computational modeling, his groups investigates how physical forces drive cellular and molecular processes in living systems at cellular and subcellular scales. Currently, Dr. Kant's group investigates how repeated traumatic brain injuries (TBIs) trigger neurodegenerative conditions like chronic traumatic encephalopathy (CTE). To this end, the group employs a top-down approach capturing multiscale mechanical injury following a TBI, alongside a bottom-up approach capturing pathological protein aggregation within neurons. These efforts aim to uncover a fundamental understanding of disease etiologies, while guiding the design of multiscale therapeutic strategies with translational applications in sports safety, defense medicine and neurorehabilitation.

Dr. Kant obtained his PhD jointly from the Department of Mechanical Engineering, Indian Institute of Technology Bombay (Mumbai, India) and Department of Material Sciences and Engineering, Monash University (Clayton, Australia). His doctoral research focused on stress-driven physiological damage during a Traumatic Brain Injury. Following that he was a postdoctoral research fellow at the Multiscale Mechanobiology and Biomaterials lab at the University of Pennsylvania (Philadelphia, USA) where he developed non-equilibrium thermodynamic frameworks to study how a cell's chemo-mechanical environment influences its epigenetic landscape.


AREAS OF INTEREST:

Computational biomechanics and mechanobiology; Biophysical modeling; Finite element and numerical methods in biological systems; Impact biomechanics;

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