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• Course Organizer for FinTech Infrastructures and Policy
• Seminar Coordinator for the Culture, Accounting, and Society (CAS) Research Network

Educational Background:

• PhD in the Sociology of Finance, University of Edinburgh (2014)
• MSc in Public Policies for Science, Technology, and Innovation, University of Sussex (2009)
• BS in Economics (major concentration) and Mathematics (minor concentration), Arizona State University (2008)

Prior to joining the Business School in 2018, I spent several years working as the Head of Risk Analytics at Schulenburg Capital Ltd (now Level E Research).

I am a Lecturer in Financial Technology and Organizations at the University of Edinburgh Business School. I am affiliated with the Edinburgh Centre for Financial Innovations and the Culture, Accounting, and Society (CAS) research network.

My research examines the organizational dimensions of finance and technology, with a particular focus on how novel and emerging technologies transform financial markets and institutions. I am especially interested in understanding how clusters of financial modelling practices – i.e. modelling cultures – emerge and are reproduced within banks and other financial organizations, and how these cultures both enable and constrain these organizations’ capacity to manage risk.

Current Research Areas

• Synthetic Data in Financial Markets: With of the Copenhagen Business School, I am examining the impact of synthetic data generation techniques on financial markets. We are particularly interested in how these techniques are facilitating the spread of machine learning into new areas of finance, as well as unintended effects these techniques may have on financial stability. 
• Politics of Stack Decentralization in DeFi: Moving beyond the blockchain literature’s focus on decentralization on the consensus layer, I’m interested in the broader “stack” of technologies upon which DeFi products are built and the hidden forms of centralization they create. My current research examines how emerging cryptoasset regulations shape defensive innovation efforts in this space, creating new "stacked" forms of the classic “regulatory dialectic.”
• Risk Management Evolution: With Marian Gatzweiler, I am examining how and post-2008 regulatory developments and technological advancements (especially in machine learning) have gradually transformed how counterparty risk is conceptualized, organized, and managed in the OTC derivatives markets. 
• Model Translation and Innovation Dynamics: With of the University of Melbourne, I am examining how novel interest rate modelling techniques were translated between communities of expertise in academia and in the financial markets, and how such translation efforts shaped innovation dynamics in the OTC derivatives markets.

My intellectual background is in the Social Studies of Finance. My previous work in this area focussed on the development and use of modelling practices used in the OTC derivatives markets, particularly in the credit derivatives and the interest rate derivatives markets. My previous publications can be found on .