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Ethan Yan

I’m a student researcher specializing in artificial intelligence for medical diagnostics, with a focus on developing computational models that enable faster and more accessible disease detection. Recognized by Davidson Fellows, ISEF, and NeurIPS, my research on the ALLocate and RetinAI systems advances AI-driven leukemia and ocular tumor screening for resource-limited communities.

Featured Research

My research develops AI-powered tools that detect cancers like leukemia and retinoblastoma faster and more affordably for early diagnosis.

ISEF Grand Award · EUCYS Core Prize · Publication in Science Translational Medicine

AI for Leukemia Detection
A low-cost, AI-powered microscope that detects acute lymphoblastic leukemia (ALL) from bone marrow smears in under a minute with near-clinical accuracy. Built with 3D-printed robotics and deep learning, ALLocate automates a process that normally requires a hematopathologist, helping hospitals like UCSF Benioff, Sutter Solano, and Kaiser Oakland deliver faster, accessible diagnoses.

NeurIPS Research Award · Davidson Fellow Scholarship · KnowTheGlow Global Collaboration

Wearable Eye Tumor Detection System
A 3D-printed, AI-enabled headset for early screening of retinoblastoma and pediatric eye tumors using computer vision and deep learning. RetinAI detects early signs of leukocoria with 98% accuracy, enabling affordable home and clinic screening in collaboration with KnowTheGlow. Featured by Yahoo News, KTLA, and MarketWatch.

ISEF Grand Award · EUCYS Core Prize · Publication in Science Translational Medicine

AI for Leukemia Detection
A low-cost, AI-powered microscope that detects acute lymphoblastic leukemia (ALL) from bone marrow smears in under a minute with near-clinical accuracy. Built with 3D-printed robotics and deep learning, ALLocate automates a process that normally requires a hematopathologist, helping hospitals like UCSF Benioff, Sutter Solano, and Kaiser Oakland deliver faster, accessible diagnoses.

NeurIPS Research Award · Davidson Fellow Scholarship · KnowTheGlow Global Collaboration

Wearable Eye Tumor Detection System
A 3D-printed, AI-enabled headset for early screening of retinoblastoma and pediatric eye tumors using computer vision and deep learning. RetinAI detects early signs of leukocoria with 98% accuracy, enabling affordable home and clinic screening in collaboration with KnowTheGlow. Featured by Yahoo News, KTLA, and MarketWatch.

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10

Years of Experience

350

Events Attended

99

Client Satisfaction

10

Awards

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