Karthik Menon

Professor Menon’s broad research interests include fluid mechanics, computational modeling, and data-driven methods. His research aims to advance interdisciplinary technology in a wide range of healthcare, engineering applications. Fluid dynamics is central to some of the biggest challenges and opportunities in these domains – such as personalized treatments for cardiovascular disease and cancer, as well as improvements in clinical diagnosis and imaging. Menon’s work tackles these challenges by uncovering new physics and combining high-performance computing with data-enabled techniques.

Cardiovascular disease is the leading cause of death amongst men and women globally. In 2022, 1 person died roughly every 33 seconds from heart disease. Menon’s research focuses on improving the clinical management of cardiovascular disease by developing personalized computational simulation techniques for blood flow and biomechanics informed by patient-specific clinical measurements and imaging. In collaboration with cardiologists and surgeons, this research combines engineering principles with clinical expertise to develop novel and interdisciplinary solutions to clinical challenges and medical device design. Menon’s research fuses high-fidelity and reduced-order computational modeling with multi-modal clinical data and uncertainty quantification. He aims to develop accurate and predictive cardiovascular digital twins that will improve clinical outcomes by enabling us to non-invasively estimate clinical risk, plan personalized and optimal treatments, and predict disease progression.