| Ph.D. Recipient     | Thesis Title     | Advisor | Professional Snapshot | 
| Lauren Alpert-Sugden | Structure, Variation, and Reproducibility: Bayesian Inference in Problems Arising From the Study of RNA and an RNA-binding Protein. | Charles Lawrence | After receiving Ph.D.: Brown University, Postdoc Currently: Duquesne University, Assistant Professor | 
| Zheng Chen | Recovering exponential accuracy in spectral methods involving piecewise smooth functions with unbounded derivative singularities. | Chi-Wang Shu | After receiving Ph.D.: Iowa State University, Postdoc Currently: University of Massachusetts Dartmouth, Associate Professor | 
| Oren Freifeld | Statistics on Manifolds with Applications to Modeling Shape Deformations. | Michael Black | After receiving Ph.D.: MIT CSAIL Currently: Ben-Gurion University of the Negev, Postdoc | 
| Joe Klobusicky | Kinetic Limits of Piecewise Deterministic Markov Processes and Grain Boundary Coarsening. | Govind Menon | After receiving Ph.D.: Geisinger Medical Center, Data Scientist Currently: University of Scranton, Assistant Professor | 
| Kelly McQuighan | Oscillons near Hopf Bifurcations of Planar Reaction Diffusion systems. | Bjorn Sandstede | After receiving Ph.D.: Boston University, Visiting Professor Currently: Google, Software Engineer | 
| Jeffrey Miller | Nonparametric and Variable-Dimension Bayesian Mixture Models:  Analysis, Comparison, and New Methods. | Matthew Harrison | After receiving Ph.D.: Duke University, Postdoc Currently: Harvard University, Associate Professor of Biostatistics | 
| Jessica Nadel-Schuster | A Stochastic Context Free Model for the Inference of Epistatic Associations in the Human Genome. | Charles Lawrence | After receiving Ph.D.: Currently:  | 
| Matthew Parks | Bayesian Statistical Inference of Non-Allelic Homologous Recombination in the Human Genome Using High-Throughput  Sequencing Data. | Charles Lawrence | After receiving Ph.D.: Weill Cornell Medical College, Postdoc Currently: Montai Health, Principal Machine Learning Scientist | 
| Laura Slivinski | Lagrangian Data Assimilation and its Applications to Geophysical Fluid Flows. | Bjorn Sandstede | After receiving Ph.D.: Woods Hole Oceanographic Inst., Postdoc Currently: NOAA, Research Scientist | 
| Seshu Tirupathi | Discontinuous Galerkin Methods for Magna Dynamics. | Jan Hesthaven | After receiving Ph.D.: Water Group, IBM, Research Scientist Currently: IBM Research Dublin, Research Scientist | 
| Wei Wu | Large Deviations and Quasipotential for finite state mean field interacting particle systems. | Paul Dupuis & Kavita Ramanan | After receiving Ph.D.: NYU Shanghai, Global Postdoctoral Fellow Currently: NYU Shanghai, Associate Professor | 
| Xiu Yang | The Holy Trinity of Stochastic Modeling and Uncertainty Quantification: High-Dimensionality, Sparsity and Rare. | George Karniadakis | After receiving Ph.D.: Pacific Northwest National Laboratory Currently: Lehigh University, Associate Professor | 
| Zhongqiang (Handy) Zhang | Towards High-Order Methods for Stochastic Differential Equations with White Noise:  A Spectral Approach. | George Karniadakis & Boris Rozovsky  (co-advisor) | After receiving Ph.D.: Worcester Polytechnic Currently: Worcester Polytechnic |