Mridul is a Ph.D. in Medical Physics working at the intersection of medical imaging and AI – building physics-based CT models, generating large-scale synthetic CT datasets of digital humans, and developing deep-learning frameworks to make medical imaging quantitative, consistent, and clinically reliable. He believes that computational methods (AI, physics, or hybrid) are crucial in reducing the cost and duration of clinical trials to bring new imaging algorithms and technologies into clinical practice.
