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Siddharth N. is a Reader in Explainable AI at the School of Informatics at the University of Edinburgh, where he leads the ExLab research group. He is also a Visiting Fellow at the University of Oxford and an ELLIS Scholar. His research interests are broad and cross-disciplinary, focusing on motivated problems at the intersection of machine learning, computer vision, natural language processing, cognitive science, robotics, and neuroscience. Specifically, his work delves into unsupervised learning of structured representations of perceptual data, exploring inductive biases of models, and establishing a common ground for machine-human interaction, with implications for building robust, generalizable, and interpretable ML systems. Siddharth has previously spent five years as a Postdoctoral Senior Researcher in the Torr Vision Group at the University of Oxford, working alongside Phil Torr, and before that, he spent several years as a Postdoc at the Computation and Cognition Lab at Stanford University with Noah Goodman. He began his academic career earning a PhD at Purdue University under Jeff Siskind.
University of Edinburgh • Edinburgh, Scotland
Leading the ExLab research group, focusing on research in Explainable AI.
Torr Vision Group, University of Oxford • Oxford, England
Conducted research in computer vision under the supervision of Phil Torr.
Computation and Cognition Lab, Stanford University • Stanford, California
Worked on interdisciplinary cognitive science research with Noah Goodman.
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