Parsa Mirhaji
NYU Langone Health
Dr. Parsa Mirhaji, MD, PhD, is the inaugural Director of Cancer Informatics at the Perlmutter Cancer Center (PCC), NYU Langone Health. Dr. Mirhaji holds a medical degree from Tehran University of Medical Sciences and a PhD in Health Informatics from the University of Texas. Widely recognized for his groundbreaking contributions to data-driven learning health systems and the advancement of Responsible AI in healthcare, Dr. Mirhaji has held several notable leadership positions, including Professor of Genetics at Albert Einstein College of Medicine;
Founding Director of the Center for Health Data Innovations Montefiore Health System; Chief Technology Officer for the INSIGHT Clinical Research Network in New York; and Founding Director of the Center for Biosecurity and Public Health Preparedness at the University of Texas Health Science Center at Houston.
An accomplished inventor, Dr. Mirhaji holds several patents spanning semantic data systems, advanced clinical text understanding, and analytic transparency and reproducibility in distributed big-data environments, a cornerstone for AI Trustworthiness.
Throughout his career, Dr. Mirhaji has pushed the frontiers of translational research, precision medicine, and learning health systems. Yet, beyond the world of data and algorithms, he finds joy and inspiration in gardening, poetry, and composing avant-garde Persian opera.
Founding Director of the Center for Health Data Innovations Montefiore Health System; Chief Technology Officer for the INSIGHT Clinical Research Network in New York; and Founding Director of the Center for Biosecurity and Public Health Preparedness at the University of Texas Health Science Center at Houston.
An accomplished inventor, Dr. Mirhaji holds several patents spanning semantic data systems, advanced clinical text understanding, and analytic transparency and reproducibility in distributed big-data environments, a cornerstone for AI Trustworthiness.
Throughout his career, Dr. Mirhaji has pushed the frontiers of translational research, precision medicine, and learning health systems. Yet, beyond the world of data and algorithms, he finds joy and inspiration in gardening, poetry, and composing avant-garde Persian opera.
