Computational Causal Inference – Making causal inference scale through algorithms and numerical computing.

Computational causal inference is an interdisciplinary field across causal inference, algorithms, and numerical computing. The field aims to develop software specializing in causal inference that can analyze massive datasets with a variety of causal effects, in a performant, general, and robust way.