My research is at the intersection of Machine Learning and Economics, with a focus on both computational and applied work. Over the course of my PhD program, I have acquired an in-depth knowledge of Causal Inference, Predictive Machine Learning, Deep Learning, and Economic Analysis.
I have 6+ years of experience in Coding (e.g. Python, Java) with a deep understanding of coding standards and best practices from Computer Science coursework, and 7+ years of experience in Data Analysis and Economic Modeling.
I have developed effective communication skills through various team projects and 3 years of teaching experience and was awarded the Graduate Student Teaching Prize.