I recently completed my PhD in the Center for Computational Science and Engineering at MIT. My research focuses on developing algorithms for probabilistic modeling and Bayesian inference that are scalable to high-dimensional problems and complex nonlinear models. My advisor is Youssef Marzouk of the Uncertainty Quantification group. Before MIT, I received my B.A.Sc. in aerospace engineering from the Engineering Science program at the University of Toronto. Starting in September I will be a von Karmon Instructor in Applied and Computational Mathematics at Caltech.


  • Probabilistic modeling
  • Bayesian inference
  • Data assimilation
  • Measure transport
  • Graphical models


  • Ph.D. in Computational Engineering, 2022

    Massachusetts Institute of Technology

  • S.M. in Computational Engineering, 2017

    Massachusetts Institute of Technology

  • B.A.Sc. in Engineering Science, 2015

    University of Toronto


  • 77 Massachusetts Avenue, Room 35-434, Cambridge, MA, 02139, USA