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Ryan Urbanowicz, PhD @DocUrbs

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

Joined June 2013
  • Tweets 769
  • Following 1,028
  • Followers 909
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Ryan Urbanowicz, PhD@DocUrbs
12 Dec 2023
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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New lecture on - Introduction to Artificial Intelligence youtu.be/MpLhkxNmb3o?si=7lVo… via @YouTube #artificialintelligence #machinelearning #logic #knowledge #reasoning #education #PhD

Introduction to Artificial Intelligence

This lecture was developed as part of a graduate-level course on 'a...

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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

History of Artificial Intelligence

This lecture was developed as part of a graduate-level course on 'a...

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New introductory lecture video on #ArtificialIntelligence #Applications in #Healthcare and #Biomedicine #MachineLearning #Education #PhD youtu.be/n06RufhkNGs

Artificial Intelligence Applications in Healthcare and Biomedicine

This lecture was developed as part of a graduate-level course on 'a...

youtube.com
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Ryan Urbanowicz, PhD retweeted
GECCO 2026@GeccoConf
5 Dec 2025
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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#gecco2025 conference is off to a great start
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science.org/doi/10.1126/scie…

Scientific timidity enables oppression

The US scientific enterprise is facing an unprecedented assault. The current administration is working to cap indirect research costs at 15% (1), halt National Institutes of Health (NIH) grant...

science.org
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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. youtu.be/FfvFdBWlJG0 @moorejh, Alexa Woodward, Harsh Bandhey @CedarsSinaiMed @UPennDBEI

Survival-LCS: A Rule-based Machine Learning Approach to Survival...

An extended video of our 2024 Genetic and Evolutionary Computation ...

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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…). youtube.com/watch?v=PU3XNsFh…

GitHub - UrbsLab/scikit-FIBERS: scikit-FIBERS (Feature Inclusion Bin Evolver for Risk Stratificat...

scikit-FIBERS (Feature Inclusion Bin Evolver for Risk Stratification) is a scikit-learn compatible machine learning algorithm for modeling or feature learning in survival analyses where feature &am...

github.com
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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

Evolutionary Computation | MIT Press

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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…

Advancing LGBTQ inclusion in STEM education and AI research

The authors emphasize diversity, equity, and inclusion in STEM education and artificial intelligence (AI) research, focusing on LGBTQ representation. They discuss the challenges faced by queer...

cell.com
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Ryan Urbanowicz, PhD retweeted
Ryan Urbanowicz, PhD@DocUrbs
26 Jan 2024
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

A Brief Introduction to Automated Machine Learning (AutoML)

This video introduces the topic of Automated Machine Learning (Auto...

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Ryan Urbanowicz, PhD retweeted
Ryan Urbanowicz, PhD@DocUrbs
12 Jul 2023
#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…

Machine Learning Essentials for Biomedical Data Science

This video series covers the key essentials for using machine learning as part of a data science analysis pipeline. While topics are primarily framed around ...

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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…

GitHub - UrbsLab/scikit-FIBERS: scikit-FIBERS (Feature Inclusion Bin Evolver for Risk Stratificat...

scikit-FIBERS (Feature Inclusion Bin Evolver for Risk Stratification) is a scikit-learn compatible machine learning algorithm for modeling or feature learning in survival analyses where feature &am...

github.com
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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

a2PilotAwards.ai | AI AgeTech Non-Dilutive NIA Grant Funding Competition

Seeking zero equity grant funding for your AI AgeTech project? Apply to the 5th a2PilotAwards.ai where the a2 Collective awards $8M per year to innovative tech startups, academics and pilot...

a2collective.ai
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