I am a researcher and educator in data science and biomedicine with over 20 years of experience in the development, evaluation, and application of artificial intelligence (AI) and machine learning (ML) methods/software. As an Assistant Professor, I lead the ‘Unbounded Research in Biomedical Systems’ (URBS) Lab, located in the Department of Computational Biomedicine at the Cedars Sinai Medical Center. The mission of the URBS-Lab is to advance AI, ML, and data science methods, application, and education in biomedicine by:
- Prioritizing transparency, interpretability, and reproducibility
- Understanding and adhering to best practices in data science
- Challenging rather than chasing trends and methodological norms
- Minimizing assumptions and focusing on data-driven discovery
- Tackling practical challenges of modern day biomedical analysis, i.e. (1) detection of complex, multivariate patterns of association, (2) large-scale (i.e. big) data, (3) data integration (types/sources), (4) imbalanced data, (5) missing (i.e. incomplete data), (6) rare-variants, and (7) seeking causal variants.
Details about my research career including publications, grants, professional activities, and teaching activities are in my Cedars-Sinai Researcher Profile and CV (above). You can also find original content on my YouTube Channel “URBS-Lab with Ryan Urbanowicz” including educational, lecture, how-to, and other videos. Publicly available code, software, documentation and simulated data developed by the URBS lab is available on our GitHub page.
Outside of my primary role, I’m also an Adjunct Assistant Professor at the University of Pennsylvania (see lab website), Director of the Cedars AI Campus Program, and Associate Executive Director of the National AI Campus Program.
I welcome you to explore this site to learn more about my interests, publications, experience, developed products/resources, and hobbies. Connect with me through my LinkedIn page!
This website was last updated on 9/20/2025.