Healthcare × Data Interoperability Years of building registry studies, harmonization frameworks, and clinical research pipelines at major ophthalmology centers. Deeply invested in standardized, high-quality datasets that improve patient outcomes.

Developer Tooling, KMS and Libraries Obsidian plugin development, vault architectures, and metadata-driven automation. Obsessed with reproducible workflows, schema-first design, and local-first infrastructure.

Creative Systems Blockchain tutorials, worldbuilding vaults, and experimental prototypes. I blend academic rigor with playful experimentation—documenting everything for portable, auditable knowledge.

I design and ship local-first, modular systems that connect research, personal knowledge, and developer workflows. The core problems I am trying to fix are fragmented information across tools, repetitive manual processes, and low-trust pipelines that are hard to reproduce or audit. My projects focus on turning scattered notes and datasets into structured, interoperable, and automation-ready systems that reduce friction, improve clarity, and make collaboration easier.

High Value Projects

• vault-library-pipeline solves cross-tool fragmentation by standardizing research intake from Zotero into Obsidian using strict naming conventions and YAML frontmatter. This turns scattered references, notes, and metadata into one structured and interoperable knowledge flow.
• Awesome-Test-Vault reduces repetitive manual organization by providing a reusable vault architecture with predictable structures, templates, and automation patterns. The result is faster setup, lower maintenance overhead, and clearer long-term knowledge operations.
• cpp addresses low-trust and hard-to-audit learning pipelines through transparent, step-by-step examples and documented progression. By making the learning path explicit and reproducible, it becomes easier to verify assumptions, review decisions, and iterate confidently.

Current Roles

• Université de Montréal, Informatics Student 2025-present
• McGill University Health Centre, Medical Administrator, 2024-present

Previous Roles

• McGill University Health Centre, Research Assistant (Dermatology and Immunology), 2021-2024
• McGill University Health Centre, Center of Excellence for Atopic Dermatitis, Research Coordinator (Dermatology and Immunology), 2021-present
• Eczema Quebec, Director and Founder, 2020-2024
• EczemaQ, Founder, Researcher and Advisor, 2018-2024
• McGill University Health Centre, Center of Excellence for Atopic Dermatitis, Patient Partner, 2018-2024

With multidisciplinary experience in research coordination, digital health, and user-centered product design, I build systems that turn fragmented, real-world information into structured, reliable workflows. My background in healthcare, research, and development lets me handle messy data, design robust pipelines, and ship usable tools.

Selected Publications

• Burden of inpatient and emergency department care for atopic dermatitis in Canada, 2016-2021 (2024)
• Effects of dupilumab treatment on circulating memory T regulatory cells in patients with moderate-to-severe atopic dermatitis (2024)
• NOD2 Agonism Counter-Regulates Human Type 2 T Cell Functions in Peripheral Blood Mononuclear Cell Cultures: Implications for Atopic Dermatitis (2023)
• Health-related quality of life in a Canadian atopic dermatitis cohort (2022)
• Epigenetic age acceleration in a pediatric cohort of atopic dermatitis (2022)
• Patient-centered development of a digital implementation tool for integrated knowledge translation with adult atopic dermatitis patients (2020)

• Prefer offline-capable, self-owned data stores.
• Model before UI; schemas drive automation.
• Composition: isolate concerns into pluggable units.
• Log decisions, schema shifts, structural refactors.
• Layering: build thin vertical slice → refine → generalize.
• Then abstract: code/prototype before theory summaries.
• Apply concepts from systems design, worldbuilding, and data modeling back into personal knowledge tools.
• Translate tacit shortcuts into explicit documented standards.
• Open-source collaboration: I believe knowledge and tools grow stronger when shared. My approach is rooted in transparency, mentorship, and building together through documentation, code, or community support.

I focus on local-first, modular, metadata-driven stack with active tools and near-term adoption paths.