Nicholas Otis
I am a PhD candidate in the Management of Organizations group at the Berkeley Haas School of Business. My research explores how artificial intelligence shapes entrepreneurial performance and strategy. I am especially interested in understanding how technology can enable underserved people, places, and firms.
My job market paper provides causal evidence from a large, randomized field experiment, showing that the impact of generative artificial intelligence on entrepreneurial performance both shapes and is shaped by entrepreneurs' networks and social interactions. My dissertation was selected as the runner-up in the INFORMS/Organization Science Best Dissertation Proposal Competition (2024). It also won the Wharton People Analytics White Paper Competition (2024), placed second in the SMS Annual Best Conference Paper Competition (2024), and received a Best Paper Prize at the Academy of Management (2024).
Please see my CV for additional information.