I recently defended my PhD in the Center for Computational Science and Engineering at MIT. 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


  • 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


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