Associate Professor of Computational Biomedicine @CedarsSinaiMed #MachineLearning #ArtificialIntelligence #Datascience #AutoML #Medicine 🏳️🌈
Los Angeles, CA
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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/STREAMLIN…
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I'm pleased to share that I’ve been promoted to Associate Professor in the Department of Computational Biomedicine at the Cedars-Sinai Health Sciences University.
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New lecture on - Introduction to Artificial Intelligence piped.video/MpLhkxNmb3o?si=7lVo… 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'.
piped.video/sJktFlS0G-0
#education #phd #medicine
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New introductory lecture video on #ArtificialIntelligence #Applications in #Healthcare and #Biomedicine
#MachineLearning #Education #PhD
piped.video/n06RufhkNGs
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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?…
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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/10.1145/3…
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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/califor…
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My colleague @vigocarpathian wrote this interesting piece on procrastination and making progress in scientific #writing. #phdlife
nature.com/articles/s41587-0…
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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.
piped.video/FfvFdBWlJG0
@moorejh, Alexa Woodward, Harsh Bandhey @CedarsSinaiMed @UPennDBEI
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A great ending @GeccoConf keynote from @UnaMayMIT on coevolution! Thanks for the kind shout-out to those working on real-world applications!
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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!
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Kicking off @GeccoConf with @UnaMayMIT and Hemburg' s tutorial on using LLMs for evolutionary search
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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-FI…).
piped.video/watch?v=PU3XNsFh…
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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
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Check out our new opinion piece on advancing #LGBTQ+ inclusion in #STEM #education and #artificialintelligence. @CedarsSinaiMed
cell.com/patterns/fulltext/S…
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Ryan Urbanowicz, PhD retweeted
New video introducing Automated #MachineLearning (#AutoML). What is it? What open-source AutoML tools or libraries are available? And how do I go about selecting one to use?
piped.video/IjX0phz3LLE
#ArtificialIntelligence #DataScience
@CedarsSinaiMed @UPennDBEI
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Ryan Urbanowicz, PhD retweeted
#MachineLearning essentials for #biomedical #DataScience. Our freely available #educational video series examining they key elements, best practices, and pitfalls to consider when assembling an ML analysis pipeline. And more!
@CedarsSinaiMed @UPennDBEI
piped.video/playlist?list=PL…
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Harsh Bandhey is presenting today at @EvostarConf - our lab's most recent algorithmic work on 'FIBERS' an evolutionary algorithm designed to optimize risk factor 'bins' that stratify right-censored survival data into risk groups. #MachineLearning
github.com/UrbsLab/scikit-FI…
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