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layout: about title: about permalink: / subtitle: Ph.D. Student, School of Electrical & Computer Engineering, Georgia Institute of Technology. Advised by Prof. Anant Madabhushi.
profile: align: right image: prof_pic.jpg image_circular: false # crops the image to make it circular more_info: > <p>Atlanta, GA</p> <p>draghavan7@gatech.edu</p>
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I am a Ph.D. student in Electrical & Computer Engineering at the Georgia Institute of Technology, advised by Prof. Anant Madabhushi in the Madabhushi Lab (jointly at Georgia Tech and Emory University School of Medicine). I work on representation learning for biomedical imaging, generative modeling, and embodied perception.
My research asks how images, signals, language, and geometry can be mapped into latent variables that are predictive, calibrated, mechanistically interpretable, and stable under distribution shift. The common thread across my work is state modeling: learning compact representations of biological and physical systems from partial, noisy observations. Concretely, this spans generative geometry and flow-based models, physics-consistent vascular world models, zero-shot quality representation learning for robust vision, oculomics for systemic-disease risk, and LLM reasoning in medicine.
Previously, I completed my M.S. in ECE at Georgia Tech, and my B.E. in Electronics & Communication Engineering at Ramaiah Institute of Technology (Silver Medal, Rank 2/156). I have also worked on embodied perception, SLAM, and edge AI for robotics at the Indian Institute of Science.
555 your office number
123 your address street
Your City, State 12345
layout: about title: about permalink: / subtitle: Ph.D. Student, School of Electrical & Computer Engineering, Georgia Institute of Technology. Advised by Prof. Anant Madabhushi.
profile: align: right image: prof_pic.jpg image_circular: false # crops the image to make it circular more_info: > <p>Atlanta, GA</p> <p>draghavan7@gatech.edu</p>
selected_papers: true # includes a list of papers marked as “selected={true}” social: true # includes social icons at the bottom of the page
announcements: enabled: true # includes a list of news items scrollable: true # adds a vertical scroll bar if there are more than 3 news items limit: 5 # leave blank to include all the news in the _news folder
latest_posts: enabled: false scrollable: true limit: 3 —
I am a Ph.D. student in Electrical & Computer Engineering at the Georgia Institute of Technology, advised by Prof. Anant Madabhushi in the Madabhushi Lab (jointly at Georgia Tech and Emory University School of Medicine). I work on representation learning for biomedical imaging, generative modeling, and embodied perception.
My research asks how images, signals, language, and geometry can be mapped into latent variables that are predictive, calibrated, mechanistically interpretable, and stable under distribution shift. The common thread across my work is state modeling: learning compact representations of biological and physical systems from partial, noisy observations. Concretely, this spans generative geometry and flow-based models, physics-consistent vascular world models, zero-shot quality representation learning for robust vision, oculomics for systemic-disease risk, and LLM reasoning in medicine.
Previously, I completed my M.S. in ECE at Georgia Tech, and my B.E. in Electronics & Communication Engineering at Ramaiah Institute of Technology (Silver Medal, Rank 2/156). I have also worked on embodied perception, SLAM, and edge AI for robotics at the Indian Institute of Science.