Brief Bio
Hello! I am a Ph.D. Student at Imperial College London with the Safe and Trusted AI CDT. Currently working on explainability of CNN models from causal and logic lense, I’m supervised by Prof. Francesca Toni and Prof. Ben Glocker. I completed my undergraduate from the Indian Institute of Technology, Madras, with a major degree in Biomedical Engineering Design and a minor in Machine Learning. Previously I was a visiting student researcher at Stanford University and a research intern at Siemens. I also write about my thoughts in the form of blogs and paper reviews here. You can take a look at my research and projects page to know more about my work.
Recent News
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July 2022: [Preprint Online] Pushed three paper (Vector Quantization for Robust segmentation, GLANCE: Global to Local Architecture-Neutral Concept-based Explanations, and Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models) to arXiv
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June 2022: [Paper Accepted] Vector Quantization for Robust segmentation accepted @MICCAI2022
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March 2022: [Paper Submission] Paper submitted to MICCAI on model robustness and quantization
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Oct 2021: Joined Ph.D. at Imperial
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April 2021: [Paper acceptance in Scientific Reports]
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Feb 2021: [AAAIw Overall Best Paper] Our work on CNN Interpretability won Overall Best Paper Award