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Isle of Skye, June 2019

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About Me

I am a Decision Science Technical Lead at ZipRecruiter based out of Oakland, CA where I am the decision science partner to the job seeker recommendations cross functional team advising on experimental design and conducting research to drive the product roadmap. I also work on improving experimental and statistical practice and expanding the use and improving the credibility of observational causal inference. I am also a researcher in the Practical Causal Inference Lab at UCLA. I hold a PhD in Statistics from UCLA, have worked as a researcher at Twitter, have a background in economic consulting and applied econometrics, and did my undergrad at Boston College, where I studied pure mathematics and economics.

My research interests focus on building tools that practitioners can use to solve real-world problems using credible causal inference, with possible applications in science, policy, business, and technology. My work has focused on the underappreciated issue of sample selection (how units observed in a data set were selected to be in that data set) for internal validity and how to leverage information from placebo outcomes and treatments. The methods I have developed include a graphical procedure for evaluating sample selection as a threat to internal validity, a sensitivity analysis for sample selection, and a flexible and powerful partial identification framework for leveraging information about placebo outcomes and treatments to make defensible causal claims.

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Elkhart Lake, WI, July 2019