Summary
Jacopo Cirrone is an Assistant Professor of Data Science at NYU and an affiliated faculty member in Precision Medicine, combining a decade of applied research with 15 years of software engineering in Python, Java, and C#. He applies machine learning to high-impact problems across genomics, autoimmune disease diagnostics, and financial time-series forecasting, leading a lab that builds semi- and self-supervised methods to reduce reliance on annotated medical data. His work links deep learning image analysis with single-cell RNA sequencing to discover biomarkers and has translated into practical advances in sustainable agriculture, from optimizing fertilizer use to improving crop resilience in nitrogen-poor soils. Before academia he developed ML systems for hedge funds and contributed bioinformatics pipelines at the New York Genome Center, giving him rare fluency in both production software and cutting-edge computational biology. Trained at NYU’s Courant Institute, he blends theoretical rigor with hands-on engineering to move research into real-world applications. An energetic polymath, he often bridges finance, ecology, and healthcare in projects that reveal transferable patterns across very different datasets.
10 years of coding experience
9 years of employment as a software developer
Master's degree, Computer Software Engineering, 110/110, Master's degree, Computer Software Engineering, 110/110 at University of Catania
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at New York University
Copenhagen University College of Engineering