iiinova — where your digital self keeps evolving

Colby T. Ford @colby.tuple.xyz · 21/05/2026

🦟📄 New preprint: "Stage-aware transcriptomics reveals selective haplotype persistence in short-term ex vivo cultured Plasmodium vivax" Read it here: www.biorxiv.org/content/10.6... #malaria #research #preprint #plasmodium #transcriptomics #RNAseq #haplotyping #tropicaldiseases

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Colby T. Ford @colby.tuple.xyz · 19/04/2026

Join me at the Nextflow Summit in Boston on May 1st to learn about "Building Multi-agentic Bioworkflows with Microsoft Foundry and Nextflow". Link: summit.nextflow.io/2026/boston/... #bioinformatics #genomics #microsoftfoundry #ai #agents #nextflow

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Colby T. Ford @colby.tuple.xyz · 03/03/2026

🐿 Feeling squirrely about #AI #agents? I have a new O'Reilly book coming out that might help! "Building Agentic Solutions with Microsoft Foundry" comes out in a few months, but you can read chapters 1-3 today! 🔗: www.oreilly.com/library/view... #microsoftfoundry #azure #finetuning #knowledgebases 🌰

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Colby T. Ford @colby.tuple.xyz · 15/12/2025

Today seemed like a good day to open-source some AI antibody design code! Using our 🦋 peleke-1 antibody languages models, we generated many antibody sequences that target Nipah virus with decent affinity. Repo: github.com/silicobio/Ni...

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Colby T. Ford @colby.tuple.xyz · 22/10/2025

#MoML @ MIT just kicked off. It’s cool to see so many people excited about #ML and #molecularmodeling. Let’s see what un-“folds” next! Our 🦋 #peleke-1 paper was accepted this year and the poster is in spot #13. #molecules #ai #llm #plm #bioinformatics #computationalbiology #biochemistry

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Colby T. Ford @colby.tuple.xyz · 13/12/2024

I've created a new plugin for #PyMOL (called PyMOLfold) that allows you to fold protein sequences right in the GUI. Simply select your model of choice (e.g., #ESM3, Boltz-1) and paste in your amino acid sequence. github.com/colbyford/Py... #ai #proteinfolding #alphafold

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Colby T. Ford @colby.tuple.xyz · 04/12/2023

I'm very excited to share this collaborative research project that included myself and researchers from MIT Lincoln Lab where we showcased the utility of high-performance computing to scale molecular modeling in SARS-CoV-2 research. Read the preprint here: www.biorxiv.org/content/10.1...

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