Intae Moon

Intae Moon, PhD

Research Fellow in Biomedical Informatics
Zitnik Lab

Intae Moon is a Postdoctoral Research Fellow at Harvard Medical School. At the intersection of medicine and AI, his research is focused on leveraging clinical data to develop evidence-based AI decision support tools, aimed at improving cancer patient care while addressing the risks of AI bias. He completed his PhD in Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT) and received his B.S. in Electrical and Computer Engineering from the University of Illinois, Urbana-Champaign. His research work has been featured in MIT News, DFCI News, and Nature Portfolio. His commitment to research and teaching has been acknowledged with the 2022 Charles J. Epstein Trainee Awards for Excellence in Human Genetics Research and the 2022 Carlton E. Tucker Award for teaching excellence.

Protein Corona Sensor Array Nanosystem for Detection of Coronary Artery Disease.
Authors: Lee GY, Li AA, Moon I, Katritsis D, Pantos Y, Stingo F, Fabbrico D, Molinaro R, Taraballi F, Tao W, Corbo C.
Small
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Machine learning for genetics-based classification and treatment response prediction in cancer of unknown primary.
Authors: Moon I, LoPiccolo J, Baca SC, Sholl LM, Kehl KL, Hassett MJ, Liu D, Schrag D, Gusev A.
Nat Med
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Utilizing Electronic Health Records (EHR) and Tumor Panel Sequencing to Demystify Prognosis of Cancer of Unknown Primary (CUP) patients.
Authors: Moon I, LoPiccolo J, Baca SC, Sholl LM, Kehl KL, Hassett MJ, Liu D, Schrag D, Gusev A.
Res Sq
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