I study how organizations navigate strategic transitions—how status, expertise, and authority get renegotiated when an organization changes what it does. The academy is in the middle of exactly such a transition. Generative AI is reshaping post-secondary education, perhaps more than anything since the postwar expansion. My research on organizational transitions is not separate from my teaching; it informs how I adapt to this technology and harness it, rather than work around it.
Prepared to Teach
- CoreStrategic Management · Organizational Behavior · Organization Theory · Entrepreneurship and Entrepreneurial Strategy · Management (undergraduate, master’s/MBA)
- Electives & New CoursesDeep Technology and Frontier Innovation · Managing Innovation · Generative AI and the Future of Work · Cross-Occupational Coordination and Expertise · Qualitative Field Methods (doctoral)
Teaching Philosophy & Experience
Teaching matters to me, and not abstractly. Management courses shaped how I negotiate, how I analyze incentives, and how I understand the people around me. I still reach for what I learned in my MBA, and I want to teach courses that earn that kind of place in students’ lives.
As a guest instructor for MS&E 288 (Managing Innovation and Driving Adoption of Frontier Technologies), I co-designed and helped run a board-of-directors simulation. Students used AI to help draft a one-page memo evaluating an investment decision on a frontier technology, kept a log of the prompts that mattered and what they trusted, challenged, or verified, and then wrote a short reflection on where the tool helped and where it created risk. A week later, they sat as boards of six with an instructor as the chair, each member holding their own memo and recommendation, and they had to reach a decision together. While their memo could be generated, understanding could not be faked in a fast-moving, high-level discussion.
I served as a course assistant (2025) and teaching assistant (2026) for Stanford’s MS&E 180 (Organizations: Theory and Management), taught multiple full class sessions, and earned excellent course evaluations.
MS&E 180 · Organizations: Theory and Management
MS&E 180 introduces fundamental theories from organizational, behavioral, and social science research and shows how they are used to understand and improve organizations. The course moves from individuals to groups to organizations and concludes with a module on technology (e.g., AI) and its impact on the future of work and organizations.
MS&E 288 · Managing Innovation and Driving Adoption of Frontier Technologies
Guest instructor · 2026
I co-designed and helped run the course’s board-of-directors simulation, described above.
I have also co-organized the lab meeting of the Center for Work, Technology, and Organization (WTO), helping socialize new doctoral students into the program, teaching them to position and frame theoretical contributions, and preparing them for their comprehensive exams.
Earlier, at Harvard Business School, I served as a course assistant for Finance 1, where I helped redesign the course’s case curriculum, and as a research associate to Joshua Coval and Malcolm Baker.
Invited Talks & Guest Lectures
My guest lectures on strategic transitions and organizational culture draw directly on my fieldwork at Gradient (a pseudonym), the deep-tech startup at the center of my dissertation. I want students to encounter novel phenomena from real organizations rather than stylized ones.
- Invited talk: “Understanding and Addressing the Risks of LLMs Compromising Participant Pseudonymity in Qualitative Research” · McCoy Family Center for Ethics in Society · 2026
- Guest lecture on strategic transitions in nascent organizations · MS&E Research Experience for Undergraduates · 2026
- Guest lecture on strategic transitions · MS&E 180 (Organizations: Theory and Management) · 2026
- Guest lecture on strategic transitions · MS&E 280 (Organizational Behavior: Evidence in Action) · 2026
- Guest lecture on organizational culture · MS&E 180 (Organizations: Theory and Management) · 2025