I am a PhD student at MIT in the Center for Computational Engineering. My research focuses on developing algorithms for Bayesian inference and data assimilation 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. During the summer of 2018, I was a research intern at Sandia National Labs, where I worked with Kevin Carlberg.


  • Bayesian inference
  • Data assimilation
  • Machine learning
  • Global optimization
  • Graphical models


  • 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