Catana Lab


Manuel A. Moraled, BSc

Graduate student in the Harvard-MIT HST program


Manuel is studying the cardiac mechanics in numerous cardiovascular diseases. He has previously researched how to use machine learning to model cardiac anatomy and function using imaging data, designed automated workflows to characterize the cardiac mechanics, and developed algorithms for disease classification using features of mechanical dysfunction.  Outside of lab Manuel enjoys hiking and being a history buff.


Deep Learning for Cardiac imaging

A collection of jupyter notebooks designed to teach deep learning, which grew out of the MIT course 6.338 Modern Numerical Computing with Julia


Ph.D. student

Harvard-MIT HST program [ONGOING]

Latest Publications