About me
I am a postdoctoral associate at MIT working with Prof. Youssef Marzouk of the Uncertainty Quantification Group. I am broadly interested in numerical methods for uncertainty quantification and probabilistic modeling. Currently I work on techniques that discover and exploit low-dimensional structure to accelerate statistical inference.
I received my PhD at MIT in Computational Science and Engineering in 2023. My thesis focused on dimension reduction for Bayesian inverse problems and simulation-based inference. I received my Master’s degree in Mathematics from Virginia Tech, where I studied nonlinear eigenvalue problems and reduced order modeling.
Recent news
June 2023: I finished my PhD (phew!)
Michael C Brennan 