research

I'm a graduate student in the Strategy and Organization Area of the PhD Program at the Desautels Faculty of Management at McGill University. My supervisor is Samer Faraj

I study knowledge and technology in three programs of inquiry: First, I'm interested in how organizations inscribe tacit knowledge in technological systems, and how technologies in turn produce new forms of knowing. Second, I study the role of expertise enactments in organizational primitives such as innovation, coordination, decision-making, and control. Third, I'm exploring how innovation unfolds in expert communities. I like to explore questions related to these programs of inquiry using a variety of empirical methods, in public sector healthcare or other not-for-profit settings.

Please visit my Google Scholar page for recent publications. My current research is organized into the following projects:


The knowing that matters: Entangling expertise and AI development for healthcare coordination

My doctoral dissertation research monograph  is based on a qualitative comparative field study of OR scheduling and AI technology development at two hospitals. Preliminary findings point to how local knowledge arrangements shape the development of AI in healthcare, and highlight the challenges of articulating tacit knowledge in the context of developing emerging technologies. This project has produced two conference proceedings and is featured in a symposium on AI and Expertise I helped organize at the 2024 Academy of Management annual meeting.


Coordinating the frontline in a multi-front crisis

This project is based on a qualitative field study of how a frontline hospital coordinated an organization-wide response to the COVID-19 pandemic.  Preliminary findings reveal how coordinators enact the conditions for emergent, interdependent work during extended and evolving crises. This project has produced two conference proceedings. I'm currently preparing two manuscripts based on this study for submission to journals.


An ecology of knowledge in expert communities

I'm interested how new ideas emerge, gain traction, and get taken-for-granted in knowledge communities. I'm using data collected for this project to experiment with computational social science methods.