Intae Moon

Intae Moon, PhD is a Research Fellow in Biomedical Informatics at Harvard Medical School, working within the Department of Biomedical Informatics under the Zitnik Lab. His research sits at the intersection of medicine and artificial intelligence, focusing on developing evidence-based AI decision support tools to improve cancer patient care while addressing AI bias concerns.

Dr. Moon completed his PhD in Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT) and earned his B.S. in Electrical and Computer Engineering from the University of Illinois, Urbana-Champaign. His academic background bridges engineering and medical applications, positioning him uniquely in the biomedical informatics field.

His research interests span artificial intelligence applications in healthcare, particularly in cancer diagnostics and treatment prediction. He specializes in leveraging clinical data and machine learning to address challenges in cancer of unknown primary (CUP) classification, immunotherapy outcome prediction, and cardiovascular disease detection. His work emphasizes developing generalizable models that maintain accuracy across diverse patient populations while mitigating algorithmic bias.

Analysis of his publication record reveals a strong focus on applying machine learning to cancer of unknown primary classification and treatment response prediction, with recent expansion into immunotherapy outcome modeling across multiple cancer types. His research demonstrates increasing sophistication in handling complex clinical data and addressing the generalizability challenges that often plague medical AI systems.

• 2022 Charles J. Epstein Trainee Awards for Excellence in Human Genetics Research
• 2022 Carlton E. Tucker Award for teaching excellence

Dr. Moon's research has gained significant attention, with his work featured in MIT News, DFCI News, and Nature Portfolio. His publications have been cited extensively, with his 2023 Nature Medicine paper on cancer of unknown primary receiving over 70 citations. His research has been picked up by 33 news outlets, blogged about 3 times, posted on X by 280 users, mentioned on 3 Facebook pages, and discussed on Reddit.

He collaborates extensively within Harvard's biomedical research ecosystem, particularly with researchers in the Zitnik Lab and other faculty in the Department of Biomedical Informatics including Alexander Gusev, Marinka Zitnik, Jaclyn LoPiccolo, and Kenneth Kehl. His work spans multiple domains including cancer research, cardiovascular diagnostics, and AI methodology development.