I am the engineering manager for Facebook’s Probabilistic Programming Languages team. Our goal is to platformize Bayesian modeling and analysis within Facebook, and invest energy and research into cutting-edge techniques that rely on compiler-driven analyses in order to advance the performance and reliability universal Bayesian inference. We have a diverse team, ranging from Programming Language experts, modeling veterans, algo/optimization specialists, and Systems hackers. I am particularly interested in using program analysis with variational inference in order to customize and scale inference to huge data sets while retaining the ergonomics and developer friendliness of a general-purpose programming language.
Interests
Probabilistic programming languages
Related Links
Latest Publications
HackPPL: A Universal Probabilistic Programming Language
Jessica Ai, Nimar S. Arora, Ning Dong, Beliz Gokkaya, Thomas Jiang, Anitha Kubendran, Arun Kumar, Michael Tingley, Narjes Torabi
MAPL at PLDI - June 22, 2019
Bayesian Neural Networks using HackPPL with Application to User Location State Prediction
Beliz Gokkaya, Jessica Ai, Michael Tingley, Yonglong Zhang, Ning Dong, Thomas Jiang, Anitha Kubendran, Aren Kumar
Bayesian Deep Learning Workshop at NeurIPS 2018 - December 7, 2018