I joined IBM in February of 2017 as a research staff member in the Ubiquitous Platforms team managed by Heiko Ludwig. I study a diverse set of topics including causal inference, AI security, and SLA management. Most recently, I have developed novel methods for deriving causal effect estimators from observational data, testing causal models, detecting poisoning attacks on machine learning, and SLA performance monitoring. I hold a Ph.D. in computer science from UCLA, where I was advised by Judea Pearl, and a B.A. in mathematics and economics from the University of Chicago.