Hello! I am an Assistant Professor of Strategy and Entrepreneurship at the Olin Business School, Washington University in St. Louis.

My research explores how external technological and societal factors impact firms and their innovation processes, in the context of electric vehicle technologies, quantum computing, and artificial intelligence. My research methodology involves constructing large-scale, novel datasets and using a combination of causal inference econometrics and machine learning techniques, complemented by qualitative interviews to gain a comprehensive understanding of the phenomenon.

If you would like to connect, please feel free to reach out at jinolu@wustl.edu I am always eager to connect and discuss research.

Intellectual Distance and Propensity to Engage with New Technological Development: Evidence from Electric Vehicle Technologies

Jino Lu

• Revise & Resubmit at Organization Science

• Best Conference PhD Paper, Strategic Management Society Annual Conference, 2022

• The Bent Dalum Best PhD Paper Award, DRUID Academy Conference, 2023

Company and University Innovation during an Industry Incubation Phase: Evidence from Quantum Computing

Avi Goldfarb, Jino Lu, and Florenta Teodoridis

• Revise & Resubmit at Management Science

Mapping the Knowledge Space: Exploiting Unassisted Machine Learning Tools (NBER working paper #30603)

Florenta Teodoridis, Jino Lu, and Jeffrey L. Furman

Fehder, D., Teodoridis, F., Raffiee, J., & Lu, J. 2024. The partisanship of American inventors. Research Policy. 53(7): 105034

• Covered by Bloomberg (online), 2024