Recent abundance of big data, and the emergence of machine learning techniques are giving rise to new data-driven approaches to old signal processing problems. I will discuss some of these techniques, and their applications to classical problems in signal processing such as hypothesis testing, detection, etc. We then discuss our joint work with AFRL on data driven STAP radar as an example, and discuss the gains of the data driven approach and our ongoing research efforts. This a based on joint work with Shyam Venkatasubramanian, Ali Pezeshki, Muralidhar Rangaswamy, Sandeep Gogineni, and Bosung Kang. Ways to join: Join from the webinar link https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m215e793e7299165d876da190007983db Speaker(s): Dr. Vahid Tarokh, Virtual: https://events.vtools.ieee.org/m/316951