Engineering taught me how systems work. Law asks what they owe.
Overview
I am beginning a JD in 2026 after five years of computer engineering at McMaster University, including co-op terms in embedded software and FPGA design. This page collects the legal and legal-adjacent side of my work.
The two tracks are not separate exercises. Much of the law that matters most right now — privacy, product liability, procurement, intellectual property, algorithmic accountability — turns on technical questions that are difficult to argue about without having built the thing. I intend to be useful precisely at that seam.
Areas of Interest
Intellectual property and patent practice. An engineering degree is a prerequisite for patent agent qualification in Canada, and hardware and embedded systems are the subject matter I can read fastest.
Access to justice and legal technology. Court and tribunal data in Canada is public in principle and difficult to use in practice. Tooling that closes that gap is where my software background does the most good.
Corporate law. Mergers and acquisitions, securities regulation, and compliance increasingly turn on what a company's technology actually does. Diligence goes faster when you can read the product itself.
Experience
Research Assistant — Access to Algorithmic Justice
June 2026 · Toronto, ON
- Collaborated with law students from multiple law schools to develop law-related prompts benchmarking AI and its effectiveness in assessing legal problems.
- Trained and led sub-teams of research assistants to colour-code publicly available decisions from courts including the Supreme Court of Canada, the Ontario Court of Appeal, and the Court of Appeal of Alberta, enabling empirical analysis of the writing styles of the cases and the judges who presided over them.
- Maintained an open line of communication between the coding sub-team and research leads Professor Sean Rehaag, Professor Simon Wallace, and Clifford McCarten.
- Empirical legal research
- AI benchmarking
- Appellate decisions
Projects
OLSAS GPA Calculator
2026
A browser-based tool for Ontario law school applicants that parses PDF transcripts from eight Canadian universities and computes GPAs on the OLSAS scale, including Cumulative, L2, B2, and B3 conversions. Runs entirely client-side; no transcript data leaves the browser.
- JavaScript
- PDF parsing
- OLSAS
Note
This section is under construction. Writing samples, coursework, and journal or clinic work will be added as 1L progresses.
Engineering Record
The technical work that precedes all of this — FPGA and RTL design, embedded firmware, and automotive control systems — is documented separately.
See the engineering portfolio.
Get In Touch
I'm interested in conversations about legal technology, IP practice, or anything where an engineering background is useful. My inbox is always open.
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