Prior to joining ORFE, Boris Hanin was an Assistant Professor in the Mathematics department at Texas A&M, following an NSF Postdoc at MIT in Mathematics. He obtained a PhD from the Mathematics department at Northwestern. He has recently held visiting positions at Facebook AI Research (Spring 2019), the Simons Institute for the Theory of Computing at Berkeley (Summer 2019), and Google (Spring 2020). Boris's research interests include machine learning, probability (random matrices and random polynomials) and mathematical physics (spectral asymptotics). Jason Klusowski received his Ph.D. in Statistics and Data Science from Yale University. He was formerly an Assistant Professor in Statistics at Rutgers University, New Brunswick for two years. Jason is broadly interested in statistical learning theory and methodology, information theory, and probability. Bartolomeo Stellato obtained his D.Phil. (Ph.D.) in Engineering Science from the University of Oxford. During his doctoral studies, he visited Stanford University where he co-developed the OSQP solver which is now widely used in academia and industry with millions of downloads. Before joining ORFE, Bartolomeo was a Postdoctoral Associate at the MIT Sloan School of Management in the Operations Research Center. His research focuses on data-driven computational tools for mathematical optimization, machine learning and optimal control.