The goal of this workshop will be to present recent developments at the intersection between optimization and statistics. These will cover topics such algorithmic foundations, sampling theory, Bayesian methods, high dimensional statistics and machine learning theory. Invited speakers are: Mateo Diaz (Johns Hopkins University) Yaqi Duan (New York University) David Dunson (Duke University) Vitaly Feldman (Apple Research) Jason Klusowski (Princeton University) Yue Lu (Harvard University) Arya Mazumdar (University of California at San Diego) Jeff Miller (Harvard University) Mert Pilanci (Stanford University) Christian Robert (Paris Dauphine) Veronika Rockova (University of Chicago) Purna Sarkar (University of Texas at Austin) Vasilis Syrgkanis (Stanford University) Matus Telgarsky (New York University) Christos Thrampoulidis (University of British Columbia) Ashia Wilson (Massachusetts Institute of Technology) Andre Wibisono (Yale University) Yuchen Wu (University of Pennsylvania)