Ryan Urbanowicz, PhD

Refactored and expanded release of STREAMLINE (v0.3.4) End-to-End Automated #MachineLearning Pipeline is now available. (Preprint available) #AutoML #DataScience #dataviz #modeling #epistasis #heterogeneity #bestpractices @CedarsSinaiMed @UPennDBEI github.com/UrbsLab/STREAM…

New lecture on - Introduction to Artificial Intelligence youtu.be/MpLhkxNmb3o?si… via @YouTube #artificialintelligence #machinelearning #logic #knowledge #reasoning #education #PhD

For any history-buffs out there, here's a new lecture video on the '#History of #ArtificialIntelligence', from 'Early Imaginings' to today's 'Generative AI Era'. youtu.be/sJktFlS0G-0 #education #phd #medicine

New introductory lecture video on #ArtificialIntelligence #Applications in #Healthcare and #Biomedicine #MachineLearning #Education #PhD youtu.be/n06RufhkNGs

Call for papers for GECCO 2026 Evolutionary Machine Learning (EML) track! The global search of evolutionary methods complements the local search process that typically underpins non-evolutionary ML methods. Chaired by @DocUrbs and Will Browne. gecco-2026.sigevo.org/Track?itemId=53

New rule-based #machinelearning modeling algorithm (HEROS) as a high performing, noise-agnostic, and human interpretable alternative to other supervised ML modelers. 3:50pm Azul Room, Evolutionary ML Track @GECCO2025 #OpenAccess github.com/UrbsLab/heros dl.acm.org/doi/abs/10.114…

#gecco2025 conference is off to a great start

The URBS-Lab is seeking a #postdoctoral researcher with strong experience in scientific writing, programming, algorithm development/evaluation, and #machinelearning, #artificial_intelligence , #datascience, and/or #statistics in general. careers.cshs.org/job/california…

My colleague @vigocarpathian wrote this interesting piece on procrastination and making progress in scientific #writing. #phdlife nature.com/articles/s4158…

Video of our recent @GeccoConf talk on "Survival-LCS: A Rule-based #MachineLearning Approach to Survival Analysis". Awarded best paper in the Evolutionary Machine Learning Track. youtu.be/FfvFdBWlJG0 @moorejh, Alexa Woodward, Harsh Bandhey @CedarsSinaiMed @UPennDBEI

A great ending @GeccoConf keynote from @UnaMayMIT on coevolution! Thanks for the kind shout-out to those working on real-world applications!

Thanks to the @GeccoConf community for the best paper award for our work on interpretable rule based #MachineLearning in survival data analysis. @moorejh @theactualAlexa and Harsh Bandhey. Stiff competition with the other fantastic best paper nominations!

@GeccoConf Join us in the 2:30 Evolutionary #MachineLearning session for our talk on developing the first interpretable rule-based ML algorithm for analyzing complex associations in survival data. Nominated for a best paper award. @theactualAlexa, @moorejh, Harsh Bandhey

@GeccoConf Very nice opening keynote by Dr. Toby Walsh on "Generative AI: Why all the fuss?" Highlighting the qualities and limitations. #ArtificialInteligence

@GeccoConf Join us today at 1040am for our tutorial on evolutionary #MachineLearning for interpretable and explainable #ArtificialIntelligence . #autoML #RuleBasedML #explainableAI

@GeccoConf next up Ting Hu, giving a workshop keynote on evolutionary computation and explainable AI

Kicking off @GeccoConf with @UnaMayMIT and Hemburg' s tutorial on using LLMs for evolutionary search

New introductory video lecture on the basics of #HLA #immunology towards research in tissue #transplantation by our collaborator Dr. Nicholas Brown (UPenn). Related to our lab's #MachineLearning research in developing FIBERS (github.com/UrbsLab/scikit…). youtube.com/watch?v=PU3XNs…

Announcing special issue on ‘XCS’ rule-based #MachineLearning in the Evolutionary Computation Journal. The XCS learning classifier system is now 30 years old - proposed before XAI and RL became 'hot topics' in #ArtificialIntelligence. Details at link: direct.mit.edu/evco

Check out our new opinion piece on advancing #LGBTQ+ inclusion in #STEM #education and #artificialintelligence. @CedarsSinaiMed cell.com/patterns/fullt…