Portrait of Jordan Lee

Jordan Lee

Assistant ProfessorExample University

I am an assistant professor in the Department of Data Science at Example University. I study how people and learning systems shape each other. (Replace this bio with yours: two or three sentences, Markdown links allowed.) I received my PhD from Another University. Before that, I worked in industry for two years.

Research interests

  • Machine learning
  • Human–AI interaction
  • Recommender systems
  • Game theory

Share these interests? Email me. Prospective students, please read this page first.

Research

Three questions run through my work.

A feedback loop: people supply data & feedback to algorithms, which return recommendations; interaction sits between them. Markers 1 to 3 match the three questions below.Recommendationsrankings · rewards · answersData & feedbackchoices · ratings · labelsInteractiondynamics · equilibria123Peopleusers · learnersdecision makersAlgorithmsmodels · platformslearning systemsNOWA new question joins the loopnew behaviournew systemsQuestion A:what changes for people?Question B:what changes for systems? A feedback loop: people supply data & feedback to algorithms, which return recommendations; interaction sits between them. Markers 1 to 3 match the three questions below.RecommendationsData & feedbackInteraction123PeopleAlgorithmsbehavioursystemsNOWA new question joins the loopQuestion A: what changes for people?Question B: what changes for systems?

  1. Theme one

    How do recommendation systems change what people choose and create?

  2. Theme two

    What happens when learning algorithms meet strategic behaviour?

  3. Theme three

    How can we measure the welfare that these systems create?

Drawing onMachine learningGame theoryOnline learningCausal inference

Publications

Show 1 more publicationsShow fewer

Full list on Google Scholar

Teaching

One or two sentences about what and how you teach. (Placeholder.)

Spring 2026 · Example University

DS 101 Introduction to Machine Learning An undergraduate course: one line on the topics, with weekly labs. UndergraduatePython labs Course page DS 520 Algorithms and Society A graduate seminar: one line on the topics and the format. GraduateDiscussion & case studies Course website

All courses

News

  1. Invited talk on feedback loops in recommendation at the Example Workshop, Sample City.
  2. Our sample paper was accepted at the Example Conference on Machine Learning.
  3. Received an example teaching award.
  4. Co-organized a session on learning systems at the Example Annual Meeting.
  5. Online seminar on strategic behaviour in online platforms.
Earlier news
  1. Joined Example University as an assistant professor.

Beyond Research

Tennis, cooking, music, two cats, and travel.

More about me