My published and ongoing research sits at the intersection of entrepreneurial strategy and technology & innovation management. I have explored questions within these areas through empirical studies of the drone industry, carbon nanomaterials, e-commerce, and artificial intelligence (AI), using econometric, causal inference, and machine learning tools.

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My teaching focuses on how firms and entrepreneurs turn technological change into competitive advantage, via new product development and AI-enabled venture building:

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• Technology Strategy & New Product Development (syllabus) is a case-based graduate-level course examining the strategic and organizational challenges firms face in innovation strategy and product development. Partnering with Base44, a leading AI-powered no-code app development platform, students use AI to build a working MVP alongside a go-to-market strategy for a new product. 

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• AI in Action: Building Products, Ventures, and Competitive Advantage is a building-focused graduate- and undergraduate-level course that I newly built in Fall 2026. Students will utilize AI to conduct in-depth market and competitive analysis, build prototypes with agentic coding tools, and take a venture from rough idea to investor-ready pitch and functioning product in one semester.​
   

• Technology, Innovation, and Entrepreneurship (syllabus) is a doctoral-seminar covering academic research on the implications of technological change for economic growth, entrepreneurship, and firm strategy.

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Previously, I completed doctoral and master's degrees at the University of North Carolina at Chapel Hill and a bachelor's degree in Industrial & Operations Engineering at the University of Michigan at Ann Arbor. ​​​​​​​​