Junho Song believes the best data is even more compelling than the best algorithm. As a deep learning data scientist, he actively has participated in the top tier AI conferences NIPS2016/17, CVPR2016, ICML2018 and is interested in analyzing financial data using deep learning technology for AI-driven financial products and neural nets applied trading system. He is a Ph.D. Candidate at Seoul National University and received his M.Sc. degree from KAIST. With many years of experience in applied practical deep learning, as a core planner and project leader, he led two projects; Deep Learning Pipeline and Military Training Dataset Generation (generative models) for Ministry of National Defense Republic of Korea (ADD). Moreover, he is not only a serial entrepreneur with experience in founding two startups, but also has been leading a deep learning open community supported by South Korean government and NAVER for many years.