Aristotelis Tsirigos
Scientific Advisor @Intelligencia Ai
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WORK HISTORY
Scientific Advisor @Intelligencia Ai
EDUCATION
Cornell University
MS, Electrical Engineering
New York University
PhD, Computer Science, Bioinformatics
National Technical University of Athens
BS, Computer Science
SKILLS
ABOUT ARISTOTELIS TSIRIGOS
Dr. Aristotelis Tsirigos is a Professor of Medicine and Pathology at the NYU Grossman School of Medicine, where he serves as Co-Director of the Precision Medicine Division and Director of the Applied Bioinformatics Laboratories. He received his Ph.D. in Computer Science from Courant Institute of New York University in January 2006, and his B.S. from the National Technical University of Athens, Greece in 1998. With over 20 years of experience in genomics and machine learning, including roles at NYU and IBM Research, Dr. Tsirigos leads pioneering efforts in precision medicine and computational biology. He directs a multidisciplinary team of computational biologists, data scientists, and trainees with a mission to better prevent, diagnose and treat disease. By leveraging big data and AI/ML, his team integrates insights from four key data modalities: electronic health records (EHR), medical imaging (radiology and pathology), multi-omic profiling (genomics, epigenomics, transcriptomics, and proteomics), and real-time health metrics from wearable devices. Their research has driven transformative advances in cancer diagnostics, including the development of FDA- and NYS-approved molecular assays for precision oncology. Dr. Tsirigos’s research encompasses computational pathology, cancer epigenetics, and gene regulation modeling using single-cell and spatial multi-omics. He has made groundbreaking contributions to understanding relapse and resistance in acute leukemias by integrating multi-omic and 3D genomic data into comprehensive disease models. An author of over 200 high-impact publications, Dr. Tsirigos has made significant contributions in cancer genomics, single-cell transcriptomics, and AI-driven diagnostics. His vision is to harness cutting-edge technology and data to deliver personalized and effective healthcare solutions, transforming clinical practice and improving patient outcomes.
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