Applied Microeconomist
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Applied Microeconomics researcher with interests in data science and causal inference. Specialization in Bayesian inference and causal methods.
As a postdoctoral fellow, I built ML models to predict various health afflictions using participant approach and avoidance assessment. Further, I used AI tools to track changes in measurement properties of standardized tests. I used causal inference methods to assess influence of social media rollout and its influence on mental health in adult cohorts.
Doctoral degree in Economics from the University of Cincinnati with postdoctoral training in Computer Science. My research includes Applied AI methods in educational evaluation, impact evaluation, identifying specification for efficiently estimating treatment effects in educational interventions.
