He received his Ph.D. in Applied Mathematics & Statistics, and Scientific Computations from University of Maryland — College Park in December 2016. Raissi’s expertise lies at the intersection of Probabilistic Machine Leaning, Deep Learning, and Data Drive Scientific Computing.