Eytan Bakshy

I'm a director and research scientist at Meta, where I lead the Adaptive Experimentation team. Our work focuses on developing practical and robust methods for sequential experimentation for real-world applications. My research interests include Bayesian optimization, Bayesian machine learning, multi-armed bandits, and active learning. Much of my work earlier has focused on the use of randomized experiments and causal inference in 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 For a more complete list of publications and activities, see my Google Scholar page and likely outdated CV.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