ORGANIZATIONAL ANALYTICS AND MACHINE LEARNING

  1. Org2.0, INSEAD MBA elective course on organizational analytics and data-driven decision-making

    • Teaching assistant for Phanish Puranam

    • Classroom instructor for 4-session tutorial on Statistics and Machine Learning

    • Co-designed sessions on natural language processing algorithms for decision-making in M&A

  2. INSEAD AI For Business Executive Program

    • Teaching assistant for Theos Evgeniou, Phanish Puranam, and Ville Satopää

  3. Programming in Python Bootcamp, INSEAD PhD core course

    • Classroom instructor

  4. Computational Organization Sciences, INSEAD PhD elective course (Henning Piezunka)

    • Guest lecturer on Machine Learning algorithms for Natural Language Processing

STRATEGY

  1. Mergers, Acquisitions, Alliances, and Corporate Strategy, INSEAD MBA elective course

    • Teaching assistant for Phanish Puranam

  2. Introduction to Strategy, INSEAD MBA core course

    • Teaching assistant for Matthew Lee

  3. INSEAD Executive Program on M&A and Corporate Strategy (Laurence Capron)

    • Wrote teaching note for case: “Cisco Systems: New Millennium—New Acquisition Strategy?” (2015)

ECONOMICS

  1. Prices & Markets, INSEAD MBA core course on microeconomics

    • Teaching assistant for Nikolas Vettas

    • Classroom instructor for 7-session tutorial—Teaching evaluation 2016: 4.58 /5.0, available here [Awarded “Best INEAD Tutor”]

    • Classroom instructor for 7-session tutorial—Teaching evaluation 2017: 4.62/5.0, available here

INSEAD “Prices & Markets” MBA Core Course (Sep/Oct 2016)

INSEAD “Prices & Markets” MBA Core Course (Sep/Oct 2016)