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November 15, 2024: I presented a poster at the 6G@UT Student Research Showcase on Generalized system identification and joint signal reconstruction with implicit neural representations, with application to MRI.
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October 3, 2024: I presented a poster at the Oden SciML Workshop on Generalized system identification and joint signal reconstruction with implicit neural representations, with application to MRI.
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July 29, 2024: Asilomar 2024 accepted our paper INFusion: Diffusion Regularized Implicit Neural Representations for 2D and 3D accelerated MRI reconstruction.
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December 25, 2023: IEEE-TDSC published our journal paper Reducing Malware Analysis Overhead with Coverings.
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October 15-21, 2023: I attended the i2i Workshop and participated in the MRI4All Hackathon on the reconstruction team, during which 4 teams worked on building an ultra-low-field MRI in a week.
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September 28, 2022: Human Brain Mapping accepted our paper Comprehensive shape analysis of the cortex in Huntington’s disease.
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August 25, 2022: I started my PhD at UT Austin with Prof. Jon Tamir in the Computational Sensing & Imaging Lab!
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July 15, 2022: I successfully defended my thesis A deep-learning enabled automatic segmentation system for surgical endoscopy for my MS in CS at Vanderbilt University.
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May 13, 2022: I graduated from Vanderbilt University with a BS in CS & Neuroscience, minoring in Applied Math.
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April 4, 2022: SPIE 2022 published our paper Segmentation of kidney stones in endoscopic video feeds.
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