Ahana Gangopadhyay is a Staff AI Scientist at GE HealthCare with eight years of experience bridging foundational AI research and practical medical imaging solutions. With a PhD in neuromorphic computing from Washington University in St. Louis, she applies vision-language and generative foundation models, self-supervised learning, and image-quality enhancement to improve clinical workflows and patient outcomes. Her background in energy-efficient, backpropagation-less spiking neuron models and analog optimization gives her a unique systems-level perspective on resource-conscious AI. Based in the San Ramon Bay Area, she mentors and collaborates across academia and industry to translate advanced research into scalable healthcare tools. Driven by a broader commitment to sustainable development goals, she focuses on making AI both effective and accessible in healthcare and education.
8 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering (B.E.) Electrical and Electronics Engineering, Bachelor of Engineering (B.E.) Electrical and Electronics Engineering at Jadavpur University
Doctor of Philosophy - PhD Electrical and Systems Engineering, Doctor of Philosophy - PhD Electrical and Systems Engineering at Washington University in St. Louis
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Ahana Gangopadhyay - Staff AI Scientist at GE HealthCare