Early Learning, Data Science, Noisy Labels.
on developing and analyzing optimization-based methods to tackle problems in applications such as neuroscience, computer vision and medical imaging. He’s particularly interested in machine learning applied to signal processing, theory of inverse problems, and applications in healthcare. He also is