Education

Engineering, programming, and research methods

I studied civil engineering, computer programming, statistics, and applied research methods at the University of Ottawa, Seneca, and Humber.

Programs

Education and training

Listed chronologically, with the focus of each program and what it added to my work.

  1. University of Ottawa

    Bachelor of Applied Science in Civil Engineering

    Specialization in geotechnical and structural engineering.

    Built the technical base the rest of the work rests on: analysis, mechanics, materials, and the built environment as a system that has to stand up. It also supplied a first working definition of rigour: a calculation either closes or it does not.

  2. University of Ottawa

    Statistics coursework

    One semester in the Honours BSc in Statistics, then withdrawn. Additional statistics coursework formed part of the BASc in Civil Engineering.

    Supplies the statistical grounding the research work runs on: estimation, inference, and the habit of asking what a reported number is an estimate of.

    No statistics degree was awarded. This is coursework, not a credential.

  3. Seneca Polytechnic

    Computer Programming Diploma

    Software development, programming practice, and computational problem solving.

    Turned an engineering background into something executable. The pipelines, experiment harnesses, and figure-generation systems published on this site after 2022 all build on that training.

  4. Humber Polytechnic

    Research Analyst (Graduate Certificate)

    Applied research methods, statistical analysis, data collection and interpretation, and research ethics.

    Named and formalized what the independent work had been doing informally: research design, evidence synthesis, ethical handling of data and participants, and the discipline of reporting what a study can and cannot support.