My research lies at the intersection of machine learning, data science and computer vision, with a
focus on learning structure-aware representations from the real-world data. To that end, my goals
are : 1) calibrate ML for real-world data issues towards robust performance ; 2) learn hierarchical
representations towards interpretable models ; 3) improve learning efficiency for ML deployment.