Lena Huang is a research scientist with nine years of experience focused on AI-driven healthcare solutions, currently working as an AI Scientist at GE HealthCare in Bellevue. She completed a PhD at UNC-Chapel Hill in 2024, bringing deep academic rigor to applied medical imaging and clinical AI challenges. Lena blends research-grade modeling and experimentation with product-minded deployment, helping translate novel algorithms into clinical-ready tools. Based in the Pacific Northwest, she pairs collaborative cross-functional communication with a habit of shipping reproducible, well-documented code. An early-career researcher who already bridges industry and academia, she’s comfortable navigating regulatory-minded environments while pushing state-of-the-art methods.
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