Danny is a Senior Staff Research Scientist at Google DeepMind and a lead of Code AI efforts there. He is also an Adjunct Professor in the Dept of Computer Science at McGill University and a Core Industrial Member at the Mila Quebec AI Institute. He was one of the early people working on Machine Learning for Code and has made a number of contributions to the area over the last 10 years, including DeepCoder, Terpret, generative models of code, and natural language + code modeling. In addition, he has made a number of contributions to core machine learning, including early work on the revival of graph neural networks and a Best Paper Award at NeurIPS for work on sampling. Over the last six years, he has been at Google working on making AI-powered developer tools useful in real software development processes. He holds a PhD in Machine Learning from the University of Toronto and was previously a Researcher at Microsoft Research Cambridge and a Research Fellow at the University of Cambridge.