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My primary research interest is in the field of computer vision, with a focus on integrating decades of understanding of the human visual system into modern deep learning models. I am persuaded that our ability to harness these insights can significantly enhance the robustness and performance of machine perception.
In tandem with this research, my journey has been uniquely shaped by a blend of rigorous academic study and professional commitments. I completed my PhD program at Penn State, all the while engaged with full-time professional work. This dual immersion has informed my perspective, bridging the gap between theory and practice in machine learning. This has subtly shaped my approach to computer vision research, specifically in incorporating the principles of human vision into machine learning models. |