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Chinmayee Athalye

About

I'm a 4th year Bioengineering PhD candidate at the University of Pennsylvania, advised by Paul Yushkevich. My research sits at the intersection of AI and biomedicine — I develop deep learning models for multimodal neuroimaging analysis in Alzheimer's disease research, combining traditional methods with modern architectures that bridge wet lab methodology with computational analysis.

Previously, I worked as a Data Scientist in Arnaout Lab at UCSF, building models for detection of rare fetal heart disease in ultrasound imaging. I hold a Master's degree in Computer Science from UC Irvine where I worked with Charless Fowlkes and Shu Kong. I received my Bachelor's in Electronics & Telecommunication Engineering from the College of Engineering Pune (COEP) in India.

I'm passionate about developing computational tools that bridge the gap between complex biological data and actionable insights for translational research that ultimately improve patient outcomes. I'm currently seeking internship opportunities where I can contribute to cutting-edge AI applications in healthcare and biological discovery.

Publications