Associate Professor of Computational Biomedicine @CedarsSinaiMed #MachineLearning #ArtificialIntelligence #Datascience #AutoML #Medicine 🏳️🌈
Los Angeles, CA
Joined June 2013
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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…
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.
New lecture on - Introduction to Artificial Intelligence youtu.be/MpLhkxNmb3o?si=7lVo… 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
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?…
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…
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…
My colleague @vigocarpathian wrote this interesting piece on procrastination and making progress in scientific #writing. #phdlife
nature.com/articles/s41587-0…
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!
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-FI…).
youtube.com/watch?v=PU3XNsFh…
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/fulltext/S…
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?
youtu.be/IjX0phz3LLE
#ArtificialIntelligence #DataScience
@CedarsSinaiMed @UPennDBEI
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
youtube.com/playlist?list=PL…
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…