Ashvath works on various software engineering and data management efforts at the LCPN. His projects have included standardizing large imaging datasets to make them easier to work with, and configuring, training, and evaluating deep learning models with infant MR data.
Ashvath has a background in Computer Science and Bioinformatics, and is interested in developing software and machine learning algorithms for use in neuroimaging and further clinical applications.
MS Computer Science, 2022
University of Massachusetts, Amherst
BS Computational and Systems Biology, 2020
University of California, Los Angeles