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Hi, I'm Gabriel A. Devenyi (@gdevenyi)

🧠 Research Computing Associate — Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University 🔬 Neuroimaging Infrastructure • Reproducible Pipelines • Research HPC 📍 Montréal, Québec, Canada · @CoBrALab · @DouglasNeuroInformatics


🌍 About Me

I build and maintain the computational backbone of a neuroimaging research lab — turning messy multi-modal brain-imaging data into reproducible, automated, and scalable analysis. My work sits at the intersection of systems administration, scientific software engineering, and high-performance computing, so researchers spend time on science instead of fighting their tools.

  • 🔭 Building reproducible neuroimaging pipelines and the HPC/workstation infra behind them
  • 🌱 Currently working on local LLM inference and GGUF sizing tooling
  • 👯 Open to collaborating on open, FAIR, reproducible research software
  • 💬 Ask me about neuroimaging pipelines, Ansible, containers, or Slurm

🧭 Research Focus

  • ⚙️ Reproducible pipelines — versioned, containerized neuroimaging workflows
  • 🖥️ Research HPC — Slurm clusters, standalone workstations, storage
  • 🧰 Automation — Ansible-driven, one-command lab infrastructure
  • 🧠 Image processing — registration, segmentation, atlasing (ANTs, MINC, ITK)
  • 📦 FAIR data — BIDS-organized, portable, share-ready datasets

🧪 Active Development Topics

  • One-command neuroimaging workstation/cluster provisioning (Ansible)
  • Native execution of tools inside Apptainer/Singularity containers
  • Local LLM inference sizing — memory/perf calculators for GGUF models
  • Reproducible LaTeX toolchains for theses & CVs
  • Subcortical atlas remapping and QC tooling

🧰 Core Technical Expertise

Domain Tools & Technologies
Languages Python, Bash/Shell, C, LaTeX, Make
Automation / DevOps Ansible, Docker, Apptainer/Singularity, GitHub Actions, pre-commit
HPC Slurm, NFS, module systems, Linux clusters
Neuroimaging ANTs, MINC / minc-toolkit, ITK, BIDS, FSL, FreeSurfer
ML / Inference PyTorch, llama.cpp, vLLM, GGUF tooling
Version Control Git, Git LFS, semantic versioning

🧩 Open Source Work

Most of my open-source work ships through the two labs I build infrastructure for:

🧠 CoBrA Lab — neuroimaging pipelines & atlases

Repository Focus Highlights
RABIES Rodent fMRI Preprocessing + analysis pipeline for rodent imaging (61★)
MAGeTbrain Segmentation Multiple Automatically Generated Templates brain segmentation (50★)
optimized_antsMultivariateTemplateConstruction Template building Optimized ANTs template construction with qbatch support (40★)
atlases Neuroanatomy Hi-res T1/T2 segmentations + MNI population averages (38★)
qbatch HPC Batch execution of command lists on Slurm/PBS clusters (34★)

🧬 Douglas Neuroinformatics — clinical data platforms

Repository Focus Highlights
OpenDataCapture Clinical EDC Electronic data capture for remote & in-person instruments (118★) — opendatacapture.org
DataBank Data sharing Web platform for managing, versioning & sharing tabular datasets
ansible-playbooks Infrastructure Ansible provisioning for CIC workstations & servers

🧰 Personal projects — NeuroAnsible, huggingface-estimate, apptainer-exec-wrapper — live at github.com/gdevenyi?tab=repositories.


📚 Scholarly Work

Citations h-index Publications

🔍 Google Scholar · 🆔 ORCID 0000-0002-7766-1187 · 🎓 Semantic Scholar · 🌐 gabriel.devenyi.ca · 📄 CV

Citation metrics auto-updated weekly via the Semantic Scholar API.

✍️ Latest Blog Posts

Auto-updated daily from gabriel.devenyi.ca via GitHub Actions.


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💻 Tech Stack

Python Bash C LaTeX Ansible Docker Linux Git PyTorch


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