Kimaya Kulkarni

I’m a PhD student at Georgia Tech, advised by Prof. Anant Madabhushi. My research interests include medical imaging, healthcare AI, and computational methods for improving disease diagnosis and risk assessment.

Previously, I was a Research Data Scientist at UCLA Health, working in the Medical Imaging Informatics (MII) Group with Dr. William Hsu, where I developed robust AI systems for medical imaging. My work spanned deep learning, harmonization, sensor fusion, and fairness in healthcare AI.

During my MS in Electrical & Computer Engineering at UCLA, I conducted research on remote healthcare and computational imaging with Prof. Achuta Kadambi.

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I’m interested in computer vision, multimodal learning, medical imaging, fairness, and robustness in AI. My projects often explore how to make machine learning models generalize well across real-world healthcare data.