I am a professor at FGV EBAPE, where I study how algorithms, artificial intelligence, and other forms of technology become part of what organizations actually do. My research examines how people interpret possibilities, assemble tools and knowledge, and reshape organizational routines, decisions, and practices.
This interest has evolved alongside data-intensive and algorithmic technologies, from big data and data science to machine learning and, more recently, generative AI and AI agents. The technologies keep changing, but one question remains. Why do some possibilities take hold while so many others never materialize?
Drawing on organization theory, innovation studies, and practice theory, I examine how technologies are developed, adapted, and enacted, both within organizations and across broader field-level systems such as innovation ecosystems. My ideas and research have appeared in leading scholarly outlets, including Academy of Management Review, Administrative Science Quarterly, Research Policy, and Research in the Sociology of Organizations. In 2019 I co-organized the founding workshop of the Interpretive Data Science (IDeaS) community, an international network of scholars exploring how data, algorithms, and artificial intelligence shape organizations and society, which has since held seven conferences in Canada and the United Kingdom.
My academic perspective is informed by two decades as an executive in energy, oil and gas, and industrial infrastructure, and much of my work turns to these and other capital-intensive industries. In these settings, before a new possibility can be judged by its returns, an organization has to decide that it deserves capital, people, and attention, and that commitment has to hold over assets built to last for decades.
I hold a PhD in Strategic Management and Organization from the University of Alberta, pursued postdoctoral research at FGV EBAPE, and previously taught entrepreneurship and innovation at NEOMA Business School in France. I am also the founding partner at Portulano Advisors, an independent advisory focused on innovation decisions in capital-intensive industries.