Rohan Dekate is a PhD candidate in Mechanical Engineering at Purdue University, specializing in Scientific Machine Learning and Uncertainty Quantification. Affiliated with the Eli Lilly and Company and Purdue University Research Alliance Center (LPRC), his research focuses on Bayesian calibration of compartment models and augmenting ultrasound for enhanced diagnostics. Prior to his doctoral studies, he gained extensive industry experience as a Senior Engineer at Mahindra & Mahindra and Stellantis, developing predictive models and optimizing control systems.