Inveniam viam aut faciam
- Biomedical AI Researcher · Innovator
Ethan Yan
A student researcher specializing in artificial intelligence for medical diagnostics, Ethan develops computational models that make disease detection faster and more accessible. First author in Nature Communications and recognized by Davidson Fellows, ISEF, and NeurIPS, he created ALLocate and RetinAI, AI-driven systems that advance leukemia and ocular tumor screening for resource-limited communities.
Inveniam viam aut faciam
AI Innovator . Cancer Survivor . Biomedical Researcher
EthanYan
A student researcher specializing in artificial intelligence for medical diagnostics, Ethan develops computational models that make disease detection faster and more accessible. First author in Nature Communications and recognized by Davidson Fellows, ISEF, and NeurIPS, he created ALLocate and RetinAI, AI-driven systems that advance 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.
Nature Communications First Author · Davidson Fellow Scholarship · NeurIPS Research Award · ISEF Third Award · AAAI Honorable Mention
U.S. Patent Allowed · ISEF Top Award · ISEF 1st Place Grand Award · EUCYS Core Prize · KnowTheGlow Global Collaboration
MSEF 1st Place (2026)
Low-Cost · AI-Powered · Wearable Safety
Peer-Reviewed Publications
Yan, E. S., Sun, S., Yin, Z., Kamali, A., Van Cleave, J., Isgor, I. S., Fried, B., Colorado-Jimenez, C., Dilip, D., Baik, J., Manzo, A., Paulsen, S., Singi, S., Drapeau, S., Eren, O. C., Chun, J. K., Syed, A., Cardillo, A., Pulitzer, M., … Goldgof, G. M. (2026). An AI-powered self-driving microscope for low-cost acute leukemia detection. Nature Communications, 17, 10304. https://doi.org/10.1038/s41467-026-77130-x
Singi, S., Sun, S., Yin, Z., Gupta, R., Webb, D. C., Bilal, K. H., Dilip, D., Wang, L., Kumar, N., Nanda, S., Sanchez, N., Van Cleave, J. G., Fried, B., Paulsen, S., Yan, E. S., Kamali, A., Sarkar, A., Manzo, A., Baik, J., … Goldgof, G. M. (2026). Interpretable multiple instance learning for hematologic diagnosis from peripheral blood smears. Communications Medicine, 6(1), 309. https://doi.org/10.1038/s43856-026-01558-x
Sun, S., Yin, Z., Van Cleave, J. G., Wang, L., Fried, B., Bilal, K. H., Lucas, F., Isgor, I. S., Webb, D. C., Singi, S., Brown, L., Shouval, R., Lin, J., Yan, E. S., Spector, J. D., Ardon, O., Boiocchi, L., Sardana, R., Baik, J., Zhu, M., … Goldgof, G. M. (2025). DeepHeme, a high-performance, generalizable deep ensemble for bone marrow morphometry and hematologic diagnosis. Science Translational Medicine, 17(802). https://doi.org/10.1126/scitranslmed.adq2162
Yan, E. (2024). Detection of acute myeloid leukemia using deep learning models based systems. In H. N. Costin, R. Magjarević, & G. G. Petroiu (Eds.), Advances in digital health and medical bioengineering (EHB 2023, IFMBE Proceedings, Vol. 109). Springer. https://doi.org/10.1007/978-3-031-62502-2_49
Published Abstracts
Yin, Z., Sun, S., Fried, B., Colorado-Jimenez, C., Van Cleave, J., Yan, E., Syed, A., Benhamida, J., Bilal, K., Vanderbilt, C., Boiocchi, L., Chan, A., Yabe, M., Roshal, M., Huang, H., Carmichael, I., Wang, L., Dogan, A., & Goldgof, G. (2026). AI-based bone marrow aspirate differentials with real-world distribution shift calibration [Abstract 533]. Laboratory Investigation, 106(3 Suppl), 104818.
Recognitions & Honors
Leadership & Community Impact
Founder – Science Research Club, Groton
Mentors peers and organizes Groton’s first science fair.
Founder – Piano Forte Youth Music
Leads 50+ young musicians performing for hospitals and senior homes.
Global Ambassador – KnowTheGlow
Raises awareness of retinoblastoma globally.
Music Prefect & Editor-in-Chief of Groton’s “Circle Voice”
Organizes music performances and edits school publications.