Jacob S. Zelko

@thecedarprince.bsky.social

🤓: Applied Math & Biomed Engineer; Research Affl @usask.ca 🔎: Health informatics, public health, applied cat. theory & open source/science 📝: EN/ES/DE/AR 🌐: Blog @ https://jacobzelko.com 📹: Twitch @ https://www.twitch.tv/thecedarprince

Published a JuliaHealth proceedings paper: "Bringing Julia to Health: A Concise Overview of JuliaHealth"! 🎉 As the ecosystem continues to grow, I am excited to have this as a community reference and overview. 🌐 Would love your thoughts! 🤓 Catch us @juliacon.org! #julialang #academicsky 🧪 📊🛟

Bringing Julia to Health: A Concise Overview of JuliaHealth

Zelko et al., (2026). Bringing Julia to Health: A Concise Overview of JuliaHealth. The Proceedings of the JuliaCon Conferences, 8(81), 194, https://doi.org/10.21105/jcon.00194

proceedings.juliacon.org

Published a JuliaHealth proceedings paper: "Bringing Julia to Health: A Concise Overview of JuliaHealth"! 🎉 As the ecosystem continues to grow, I am excited to have this as a community reference and overview. 🌐 Would love your thoughts! 🤓 Catch us @juliacon.org! #julialang #academicsky 🧪 📊🛟

Bringing Julia to Health: A Concise Overview of JuliaHealth

Zelko et al., (2026). Bringing Julia to Health: A Concise Overview of JuliaHealth. The Proceedings of the JuliaCon Conferences, 8(81), 194, https://doi.org/10.21105/jcon.00194

proceedings.juliacon.org

Are you a life scientist? Do you use code in your work? Then this conference is for you! Come find out why julia should power your next project And don't forget to check out the Health-sciences and Pharma-focused minisymposia too! 🧪 bsky.app/profile/thec...

JuliaCon 2026@juliacon.org · 6mo ago

@kevinbonham.com, Rasmus Henningsson, Elisabeth Rösch, and Jakob Nybo Andersen are running a minisymposium on "Julia for Biology" at JuliaCon 2026! Find out more at pretalx.com/juliacon-202... and submit your talk to juliacon.org/2026/cfp #julialang #biology

Computing has a rich history in biological discovery, and the needs of biologists are continuing to drive algorithm development in multiple domains. Close alignment between developers and deep biological domain expertise is crucial in this field and a programming language such as Julia provides an ideal platform for such tight collaborations that require a range of access points to the software. Julia provides interactive and notebook-based interfaces commonly used by experimentalists whilst also giving algorithm developers the opportunity create more complex workflows and structures, and optimize performance as needed.

In this minisymposium, we aim to highlight ways in which computational biologists* are using Julia to advance our understanding of living systems, in academia and industry, while also contributing to the package ecosystem and core language on multiple fronts.

"Computational biology" is a broad tent. Topics presented include algorithms for text matching and search (bioinformatics), modeling and machine learning (systems biology and quantiative pharmacology),statistics and data science (experimental analysis, epidemiology), and imaging and geospatial statistics (microscopy), among others.

Congrats Markian Hromiak, Aradhya Rajanala, & Katy Sadowski -- won a best community contribution award! 🎉 Showed how to shrink 220GB of synthetic medical data to 20GB w @duckdb.org, host on constrained machines, & use it via #rstats #julialang #python wrappers 🧪 #academicsky #publichealth #datasci

Jacob S. Zelko@thecedarprince.bsky.social · 10mo ago

Markian & I worked with Katy Sadowski to create small OMOP CDM patient databases. We discussed a #workflow to generate 1 million patient DB that went from ~220GB to ~20GB -- ~90% data reduction! Goal was to provide researchers more realistic & performant @duckdb.org DBs for health informatics. 📊🩺

Dbt-synthea enables new workflows for resource-constrained environments

Congrats Markian Hromiak, Aradhya Rajanala, & Katy Sadowski -- won a best community contribution award! 🎉 Showed how to shrink 220GB of synthetic medical data to 20GB w @duckdb.org, host on constrained machines, & use it via #rstats #julialang #python wrappers 🧪 #academicsky #publichealth #datasci

Jacob S. Zelko@thecedarprince.bsky.social · 10mo ago

Markian & I worked with Katy Sadowski to create small OMOP CDM patient databases. We discussed a #workflow to generate 1 million patient DB that went from ~220GB to ~20GB -- ~90% data reduction! Goal was to provide researchers more realistic & performant @duckdb.org DBs for health informatics. 📊🩺

Dbt-synthea enables new workflows for resource-constrained environments

JuliaHealth is on @hf.co! 🤗 If you are interested in #julialang, #llm or #agentic workflows, and how #GenAI can be used within public health, medical informatics, and survey-based research, drop us a line or a follow! 🤓 How are you using GenAI in your medical research? #opensource #medsky #data

JuliaHealthOrg (The JuliaHealth Organization)

Org profile for The JuliaHealth Organization on Hugging Face, the AI community building the future.

huggingface.co

JuliaHealth is on @hf.co! 🤗 If you are interested in #julialang, #llm or #agentic workflows, and how #GenAI can be used within public health, medical informatics, and survey-based research, drop us a line or a follow! 🤓 How are you using GenAI in your medical research? #opensource #medsky #data

JuliaHealthOrg (The JuliaHealth Organization)

Org profile for The JuliaHealth Organization on Hugging Face, the AI community building the future.

huggingface.co