I am primarily interested in time series analysis and causal inference. I'm keen to study and develop models that predict high-dimensional, high-frequency, and mixed-frequency data through econometric and machine learning techniques. For causal inference, I'm interested in applying quasi-experimental methods to isolate the effect of policy interventions on socioeconomic outcomes. All of this is to say that I advocate for evidence-based decision making, particularly in public policy and financial decision making.

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Outside my main research agenda, I am interested in the digital transformation of organizations and societies. I'd like to study how the integration of people, process, data, and technology has produced new business models and upended our way-of-life as producers, consumers, and citizens. 

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