Ax

Ax is an open-source platform for adaptive experimentation developed by Meta’s Adaptive Experimentation team. It provides a unified interface for Bayesian optimization, multi-fidelity, multi-objective, and constrained optimization, built on top of BoTorch.

I contribute to Ax as part of my work at Meta, with a particular focus on sample-efficient methods for hyperparameter tuning, capacity management, and scaling-law-based modeling. Co-first author on Ax: A Platform for Adaptive Experimentation (AutoML 2025).