Ines Chami is the Chief Scientist and Co-Founder of Numbers Station. She received her Ph.D. in the Institute for Computational and Mathematical Engineering from Stanford University where she was advised by Prof. Christopher Ré. Prior to attending Stanford, she studied Mathematics and Computer Science at Ecole Centrale Paris. Ines is particularly excited about building intelligent models to automate data-intensive work. Her work spans applications such as knowledge graph construction and data cleaning. For her work on graph representation learning, she won the 2021 Stanford Gene Golub Doctoral Dissertation Award. During her Ph.D. she interned at Microsoft AI and Research and Google Research where she co-authored the graph representation learning chapter of Kevin Murphy’s “Probabilistic Machine Learning: An Introduction” book.