Ryan Urbanowicz, PhD
@DocUrbs
Assistant Professor of Computational Biomedicine @CedarsSinaiMed #MachineLearning #ArtificialIntelligence #Datascience #AutoML #Medicine 🏳️🌈
Dit vind je misschien leuk
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 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…
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
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Survival-LCS: A Rule-based Machine Learning Approach to Survival...
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!
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…
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Introduction to Human Leukocytic Antigen (HLA) for Transplantation...
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…
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? youtu.be/IjX0phz3LLE #ArtificialIntelligence #DataScience @CedarsSinaiMed @UPennDBEI
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A Brief Introduction to Automated Machine Learning (AutoML)
#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 youtube.com/playlist?list=…
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…
Attn @CSaccelerator #healthtech #medtech, innovators - apply for up to $200k #zeroequity for #ai #agetech #aging pilot projects at the a2PilotAwards.ai – Apply between 3.1-4.30.24 at: a2collective.ai/pilotawards
Attn #healthtech #medtech innovators - apply for up to $200k #zeroequity for #ai #agetech #aging pilot projects at the a2PilotAwards.ai – The @a2_collective aims to improve the health + quality of life for older adults. Apply between 3.1-4.30.24 at: a2collective.ai/pilotawards
Check out our new AI Campus @ Cedars webpage! cedars.nationalcampus.ai Learn about the program, find educational materials, and learn about hands on projects for learning how to apply #MachineLearning and #ArtificialIntelligence in medicine. @CedarsSinaiMed #DataScience #Medicine
A nice article on the National AI Campus and and Cedars AI Campus Program we are currently running to engage participants in AI training and practical experience as a pipeline into the field. @CedarsSinaiMed #MachineLearning #ArtificialIntelligence cedars-sinai.org/newsroom/natio…
New video tutorial of STREAMLINE Automated #MachineLearning . Includes: Intro to AutoML, intro to STREAMLINE, and guides on input data, run parameters, and installing/running STREAMLINE in different modes. youtube.com/playlist?list=… @CedarsSinaiMed @UPennDBEI
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