- Professor, Department of Medicine, NYU Grossman School of Medicine / NYU Langone Health
- Professor, Department of Pathology, NYU Grossman School of Medicine / NYU Langone Health
- Co-Director, Division of Precision Medicine, NYU Grossman School of Medicine / NYU Langone Health
- Director, Applied Bioinformatics Laboratories, Applied Bioinformatics Laboratories, NYU Grossman School of Medicine / NYU Langone Health
- Director, Clinical Informatics, Molecular Pathology Lab, NYU Grossman School of Medicine / NYU Langone Health
Dr. Aristotelis Tsirigos is a Professor of Medicine and Pathology at NYU Grossman School of Medicine, where he serves as Co-Director of the Division of Precision Medicine and Director of the Applied Bioinformatics Laboratories. He earned his BS from the National Technical University of Athens and his PhD in Computer Science from the Courant Institute of Mathematical Sciences at New York University.
Over more than two decades at the intersection of computational biology, artificial intelligence, and oncology, Dr. Tsirigos has built and led multidisciplinary programs spanning clinical genomics, AI modeling, and translational medicine at NYU Langone Health. His research translates advanced machine learning, multi-omics technologies, and computational pathology into clinically actionable insights and scalable diagnostic tools. His team works across a broad range of data modalities — including electronic health records, medical imaging, multi-omic profiling, and wearable health metrics — to improve disease prevention, diagnosis, and treatment.
Among his most significant contributions are the development of FDA- and New York State–approved molecular diagnostic assays in cancer genomics and precision oncology, and the use of integrative single-cell and spatial multi-omics approaches to illuminate mechanisms of relapse and resistance in acute leukemias. The author of more than 200 peer-reviewed publications, Dr. Tsirigos is widely recognized as a leader in cancer genomics, single-cell biology, and AI-driven biomedical discovery.
