Natan Katz is a data scientist leader, researcher, and research manager with over 15 years of experience in the field. He has expertise in classical machine learning, deep learning tools such as DNN, CNN, GAN, and VAE, and Bayesian methods. With extensive experience in disciplines such as speech, NLP, and fintech, he has handled research to production and worked alongside different teams. He has also recruited and mentored professionals to the point of independence.

Having won annual research plans for the Israeli innovation authority, Katz holds over ten patents that focus on AI products. He is also an official author in Towards Data Science and a keynote speaker in ML meetups, and his works are organized and available via his Amazon page. He studied as a guest scientist in the Dynamical systems group at Johann Wolfgang Goethe-Universität Frankfurt am Main, pursued M.Sc. in Applied math at Weizmann Institute of Science, and obtained a B.Sc. in Math- Primary, Physics Secondary at The Hebrew University.

Katz's organizations include being a Principal Researcher, Research Leader, at NICE Ltd, a Data Science Research Leader at Start-up, Quantitative Analyst and Leader at Quantecom, Algorithm Researcher at Cellmax Systems, Exotic Currency Advisor at Forexia, Algorithm Researcher at idesia, Algorithm Person at Gilat, and Israeli Intelligence at IDF.