Discipline: Economics, Entrepreneurship, Management
Lab: Laboratory for Innovation Science at Harvard
Role: Doctoral Student
Topic: AI / Machine Learning, Data & Analysis, Innovation & Disruption, Managing in the Digital Economy, Platforms & Crowds
What I do
I am a PhD student in the Technology and Operations Management Unit (TOM) at HBS, specializing in technology innovation, knowledge system, and entrepreneurship. Currently, I am collaborating with Professors Jackie Lane and Karim Lakhani to explore how generative AI can enhance human capabilities and streamline firm decision-making through AI-assisted expert systems and evaluations using LLMs.
What I care about
I am dedicated to unraveling the AI-innovation paradox. In my research, I focus on the early stages of the innovation cycle, where raw ideas are conceived and refined. My passion extends to entrepreneurship, where I enjoy learning how entrepreneurial ventures can harness AI to gain a competitive edge, from optimizing resource allocation in the ideation stage of a startup, to scaling innovative breakthroughs in more established settings.
How I connect to the D^3 Mission
Central to my research is the quest to understand the organizational frictions that can arise in knowledge production and innovation processes, and to identify actionable strategies that enable leaders to integrate AI into their day-to-day workflows. Ultimately, my goal is to equip organizations and entrepreneurs with the tools and insights necessary to leverage AI as a potent catalyst for sustained innovation, creative exploration, and competitive advantage.