Rishabh Mehrotra is a Staff Research Scientist at Spotify in London. He obtained his PhD in the field of Machine Learning and Information Retrieval from University College London where he was partially supported by a Google Research Award. His PhD research focused on inference of search tasks from search conversational interaction logs. His current research focuses on machine learning for marketplaces, bandit based recommendations, and multi-objective modeling of recommenders. Some of his recent work has been published at conferences including KDD, WWW, SIGIR, NAACL, RecSys and WSDM. He has co-taught a number of tutorials at leading conferences including KDD, RecSys, WWW & CIKM, and taught courses at summer schools. More details: twitter, website.