Ndubuisi Ugwuanyi

Ndu’s research examines strategic decision-making under uncertainty using entrepreneurial contexts where consequential choices are made amid severe uncertainty, resource constraints and constant need for external validation. His job market paper reframes venture capital as an external commitment that changes how entrepreneurial firms learn, revise strategy, and scale. The paper investigates whether founders exercise discretion over the timing of this commitment and further examines how delayed entry into venture capital shapes venture development and performance. His broader research agenda advances a sequencing perspective on entrepreneurial strategy: how the ordering of early decisions—what to pursue first, what to defer, and when to commit—shapes firm trajectories under uncertainty. His work combines large-scale data, novel measurement, applied econometrics, and deep learning methods. In another work, he explores how artificial intelligence is changing the speed and structure of product-market learning in entrepreneurial firms.

He holds an MSc in Management, with a specialization in Strategy and Entrepreneurship, from Smith School of Business at Queen’s University; an MASc in Chemical Engineering and Applied Chemistry from the University of Toronto; and a BSc in Pure and Industrial Chemistry from the University of Nigeria Nsukka, where he graduated with First-Class Honors (summa cum laude) and received the Best Graduating Student Award. Previously, he worked in the cosmetics development and manufacturing industry and as a technical research scientist at the National Research Council, both in Canada. Before beginning his PhD, he co-founded a revenue-generating startup with teams across Canada, the United States, and the Netherlands. His interest in strategy also draws on early experience helping manage a family business starting at age fourteen.

He is on the academic job market.