Hi, I'm Neha.

Currently, I'm working on a causal inference team at Duke (this one), building causal inference algorithms that use machine learning for fast, interpretable, accurate matching on observational data.

I am a graduate of Duke University's MS in Economic Computation (MSEC). Previously, I had a career as a corporate software engineer, focused on backend platforms and infrastructure. I worked at Google for the Gmail backend tools and infra teams (summer intern), and at FactSet, a financial analytics platform and data provider (2 years). Prior to that, I was an undergrad at Michigan State University's College of Engineering and Honors College, where I had two majors; Computer Science, and Economics; and minored in Math. During that time, I TA'd a number of courses, and actively run programs for women in STEM fields.

My ongoing community service, my professional, and my personal background (born and raised in a small city in Michigan, with my immigrant family) motivates my policy-relevant economics interests. My broad interests beyond causal inference/ML also include applied micro (labor, urban), mechanism design, and growth/technology policy.

You can reach me by email at "neha.r.gupta" + "at" + "duke" + "dot" + "edu".

• Research Projects
• Teaching/Community Work