In recent years our ability to apply AI and Deep Learning to real-world problems and products has increased exponentially. It’s hard to think of a .. Read more field that will not be profoundly changed by AI. As a Ph.D. student at Cornell, my research involves a combination of online experiments and large-scale data mining to deliver insights about people's preferences on items, and how recommender systems influence them. I developed a novel recommendation model for community recommendation at LinkedIn, prototyped collaborative models of augmenting restaurant data at Google and more recently, worked on estimating the impact of recommender systems in driving volume on e-commerce websites at Microsoft Research. Researcher and engineer with 10+ years experience in the field of telecommunications. Currently working for Ericsson as telecommunications domain expert & data scientist / analyst in the fields of VoLTE Customer Experience & Network Monitoring, being the system engineer/architect of a team developing a Machine Learning based anomaly detection application. David leads Open Source Machine Learning Strategy at Azure.
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