#economics

1 min read

    Economics is where I spent my actual undergraduate career. While I work professionally as a general software engineer, the start of my career was in fintech.

    When I was studying economics, most of my academic focus was in market design and non-monetary systems like:

    • Efficient task delegation, which — very helpfully — carries over to efficiencies in distributed computing and project management;
    • Matchmaking algorithms; and
    • Incentive structures in markets where monetary compensation is a secondary concern, such as the open-source software (OSS) ecosystem.

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    Recent Posts

    • Contact: My Resume

      — The PDF copy of my day-to-day resume. (1 min read)

    • The Simple Economics of Open Source

      — Why do we do what we do? "Egoboo." Exploring economic models of OSS contributions beyond altruism and ego.

    • College Admissions and the Stability of Marriage

      — A dive into the hottest algorithm of the 1960s: Gale-Shapley matchmaking. Who knew that the mysteries of the heart could be solved with a matrix?

    • Unstable Marriage

      — After researching matchmaking algorithms forever, I never considered odd-numbered sets. The implications are funnier than expected — addendum on Gale-Shapley matchmaking. (1 min read)

    • Quantitative Analysis of Markets & Organizations

      — My time at the University of Utah was longer than I'd planned, cut shorter than expected by COVID-19. I was very lucky to have mentorship to push me across the finish line. (1 min read)

    Show 6 more posts

    • Don't Double Down: Structured Streaming to Wrangle Data

      — Stop reprocessing your entire dataset every time new data arrives. A practical guide to Spark Structured Streaming with code examples and cost logic. (9 min read)

    • Littlefield Simulator: The Art of Laziness

      — Efficiency: spending six hours building a web scraper to avoid five minutes of daily work. Automating a business simulation because checking in is for chumps. (8 min read)

    • Entries to SOME 1

      — Stable matching, optimal stopping, and Bachelor analysis - visualized with some care. (1 min read)

    • Utah Office Consult

      — People problems are the hardest engineering problems. A consult on thinking out-of-the-box to explain morale problems in small companies.

    • College Admissions and the Stability of Marriage

      — My college presentation on the Gale-Shapley paper, recorded on an iPad, like a true professional. Non-market environments, matchmaking lattices, and gratitude for good professors. (1 min read)

    • What *are* Supply Chains, Anyway?

      — A first foray into network visualization: messy graphs, abject terror. Early data viz experiments searching for supply loops. Bad graphs; interesting questions. (2 min read)

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