I am a machine learning researcher. I have been a research scientist at Google DeepMind, Google Research, and Adobe Research. Before that, I was a postdoc working with Prof. Andrew Gelman in the Statistics Department at Columbia University. Before that, I did my Ph.D. at Princeton University in Computer Science working in the Sound Lab with Prof. Perry Cook and Prof. David Blei.

My main research focus is in probabilistic modeling and approximate inference algorithms. I have worked on various applications including music information retrieval, speech enhancement, topic modeling, language modeling, learning to rank, computer vision, user interfaces, user behavior modeling, social network analysis, digital imaging, and astronomy. I'm a co-creator of the widely used statistical modeling package Stan, and have contributed to TensorFlow Probability.

You can contact me by email at matt [at] matthewdhoffman [dot] com.