Jonathan Dorando

Jon has over 7 years of experience in Machine Learning and Natural Language Processing in the financial domain. In his prior job at Bloomberg, Jon was the manager of the Machine Learning for Information Retrieval. His responsibilities included theory development in the areas of Recommendation, Ranking, Personalization, Online Learning, Crowd Sourcing, Knowledge Graph, and Offline Policy. He was also responsible for prototyping through production level engineering of the systems pertaining to the theories. During Jon’s time with Bloomberg, he had collaborations with Cornell University and University of Amsterdam for developing next generation theory, and subsequent deployment of the theories into Bloomberg production code. Prior to Bloomberg, Jon received his BS in Chemical Physics at Carnegie Mellon University (where he is a Phi Beta Kappa) and his PhD from Cornell University in Theoretical Chemistry