Mert Bay Ph.D., Principal Scientist at Conversion Logic, is a data scientist with over 11 years of experience in machine learning, information retrieval, signal processing, software development, R&D and a passion for turning data into actionable insights. Prior to building Conversion Logic’s marketing analytics platform, Mert developed complex simulation and optimization methods and modeling platform at Marketshare that is used by fortune 500 companies to optimize their marketing budget. Prior to Marketshare, he served as one of the leaders of the music information retrieval evaluation exchange (MIREX http://www.music-ir.org/mirex) community and help to establish a formal evaluation infrastructure for information retrieval problems. Prior to that, he was one of the main developers for NEMA project (https://github.com/imirsel/nemadiy) which provided open source information retrieval tools to solve complex music information retrieval problems. Mert is the author, co-author of over 20 publications that appeared in Journal of Acoustical Society of America, Springer Studies in Computational Intelligence (book) and in proceedings of various conference proceedings. His work is cited by 400 other publications. Mert earned M.S. and Ph.D. in electrical and computer engineering from University of Illinois at Urbana-Champaign and B.S. in electrical engineering from Bogazici University.