Ryan Urbanowicz, PhD @DocUrbs
Assistant Professor of Computational Biomedicine @CedarsSinaiMed #MachineLearning #ArtificialIntelligence #Datascience #AutoML #Medicine 🏳️🌈 ryanurbanowicz.com Los Angeles, CA Joined June 2013-
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New lecture on - Introduction to Artificial Intelligence youtu.be/MpLhkxNmb3o?si… via @YouTube #artificialintelligence #machinelearning #logic #knowledge #reasoning #education #PhD
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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
Ryan Urbanowicz, PhD retweeted
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…
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