I am a Postdoctoral Researcher in Pharmacology and Physiology at the Université de Montréal. My work bridges advanced experimental biology with computational data analysis, driven by a commitment to open science, knowledge sharing, and reproducible research.

Here, I share custom code, analysis pipelines, and workflow automation tools to help streamline data processing and support the broader scientific community.

My Philosophy: Knowledge belongs in the open.

My research specializes in neurovascular coupling, spanning from ex vivo (acute mouse brain slices) to in vivo models.

• Advanced Imaging & Electrophysiology: Extensive experience in contrast, confocal, and two-photon microscopy, combined with electrophysiological recordings.
• Tissue & Cellular Assays: Strong background in immunofluorescence (staining, acquisition, and quantification) as well as Flow Cytometry (FACS).
• Molecular Biology & Genomics: Proficient in genomic and protein workflows, including RNA extraction, RT-PCR, Western Blot, and bulk RNA-seq.

To extract meaningful insights from complex biomedical datasets, I develop custom, automated, and reproducible analytical pipelines:

• Data Analysis & Scripting: Writing efficient scripts in R and Python to ensure rapid, scalable, and reproducible data processing.
• Image Analysis: Automating image processing workflows using Fiji/ImageJ macro scripting.
• Rigorous Statistics: A core focus on applying just, robust, and accurate statistical models to physiological and genomic data.

• Image Processing: Fiji / ImageJ
• Programming Languages: Python, R
• Data Science & Stats: Pandas, NumPy, Scikit-Learn, ggplot2, Tidyverse
• Tools & Environment: VS Code, RStudio, Jupyter Notebooks, Git/GitHub

• Professional: LinkedIn
• Academic: ORCID iD | Google Scholar | Research Gate
• Location: Montréal, QC, Canada