Ryan Urbanowicz, PhD

Associate Professor of Computational Biomedicine @CedarsSinaiMed #MachineLearning #ArtificialIntelligence #Datascience #AutoML #Medicine 🏳️‍🌈

[Ryan Urbanowicz, PhD @DocUrbs]

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

https://t.co/J38m37gxOT

[Ryan Urbanowicz, PhD @DocUrbs]

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.

[Ryan Urbanowicz, PhD @DocUrbs]

New lecture on - Introduction to Artificial Intelligence https://t.co/93gN4SsdnL via @YouTube

#artificialintelligence #machinelearning #logic #knowledge #reasoning #education #PhD

[Ryan Urbanowicz, PhD @DocUrbs]

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'.

https://t.co/U5hJ2nTxvq

#education #phd #medicine

[Ryan Urbanowicz, PhD @DocUrbs]

New introductory lecture video on #ArtificialIntelligence #Applications in #Healthcare and #Biomedicine

#MachineLearning #Education #PhD

https://t.co/ZuGpicdKkw

[GECCO 2026 @GeccoConf]

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.

https://t.co/MAzc8be07T

[Ryan Urbanowicz, PhD @DocUrbs]

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

https://t.co/9ODHO8qsfC

https://t.co/zkEKVNYxAx

[Ryan Urbanowicz, PhD @DocUrbs]

#gecco2025 conference is off to a great start

[Ryan Urbanowicz, PhD @DocUrbs]

https://t.co/hEgGu2n9x3

[Ryan Urbanowicz, PhD @DocUrbs]

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.

https://t.co/4EXjbQWTqZ

[Ryan Urbanowicz, PhD @DocUrbs]

My colleague @vigocarpathian wrote this interesting piece on procrastination and making progress in scientific #writing. #phdlife

https://t.co/BclmWkW21F

[Ryan Urbanowicz, PhD @DocUrbs]

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.

https://t.co/JYhFK47XHY

@moorejh, Alexa Woodward, Harsh Bandhey @CedarsSinaiMed @UPennDBEI

[Ryan Urbanowicz, PhD @DocUrbs]

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

[Ryan Urbanowicz, PhD @DocUrbs]

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!

[Ryan Urbanowicz, PhD @DocUrbs]

@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

[Ryan Urbanowicz, PhD @DocUrbs]

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

[Ryan Urbanowicz, PhD @DocUrbs]

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

[Ryan Urbanowicz, PhD @DocUrbs]

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

[Ryan Urbanowicz, PhD @DocUrbs]

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

[Ryan Urbanowicz, PhD @DocUrbs]

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 (https://t.co/QqIJOlgSYP).

https://t.co/C1auoX4NtF

[Ryan Urbanowicz, PhD @DocUrbs]

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:
https://t.co/bkipQ5iCKf