Talk Abstract: How to create business impact with Data Science. Machine learning and AI have transformed Deliveroo. Surprisingly, we find that this was achieved not by the latest theory or libraries, but from rigorous application of the principles of basic research: experimentation, incrementalism, and a bias to simplicity. In this talk, we share the case study of Deliveroo, including how these principles were applied, and how they helped transform the company, which was already at international scale before its first ML and AI efforts, from a business still heavily reliant on manual decisions to a fully automated platform with a massively improved customer offering.
Bio: Michael is Chief Scientist at Deliveroo, an international on-demand food delivery startup that is based in London. At Deliveroo, he leads both the Product Analytics function, which guides product iteration with rigorous experimentation and analysis techniques, and the Algorithms function, which develops AI and machine learning products that automate and optimize business processes. Before Deliveroo, he developed recommender system algorithms at Netflix. He holds a Master of Arts and PhD in Psychology and Neuroscience from Princeton University, after which he conducted postdoctoral research at the University of California, Berkeley before moving into industry.