Eytan Bakshy

I'm a principal scientist and director on the Core Data Science Team at Meta, where I lead the Adaptive Experimentation team. I am particularly interested developing practical and robust methods for sequential experimentation and reinforcement learning for real-world applications. Much of my work has been motivated by the use of randomized experiments for understanding social behavior, including influence and information diffusion in networks.

Selected publications

Here are a few of my recent publications. For a more complete list of publications and activities, see my Google Scholar page and CV.

Bayesian optimization and reinforcement learning

Causal Inference and Experimentation

Field experiments

Observational studies

Open source

The Adaptive Experimentation team at Meta develops two open-source software packages:

I am also the creator of PlanOut. It's an open-source framework for designing and implementing complex behavioral science experiments. I find PlanOut to be helpful for thinking about and planning experiments, and hope that people can use it to run interesting experiments. Visit the PlanOut homepage and give it a try. For more on designing and deploying online field experiments with PlanOut, check out our paper on the subject.


Coverage on papers and Data Science Team posts: Other press