Alexander Johnson-Vázquez

Hello everyone! Welcome to my website. My name is Alex Johnson, and I am a 2nd year Ph.D. student in Applied Math at the University of Washington. I have the pleasure of being advised by Sasha Aravkin. I broadly work on problems related to modelling through (convex and non-convex) optimization techniques, with a focus on problems related to statistical inference and machine learning. Additionally, I study problems related to the (optimal) transport of measure and finding applications in sampling problems, working on methods such as flow matching. I am also a graduate student researcher at the IHME where I’ve been working on applying variational analysis tools and disciplined convex programming to support meta regression workflows that improve population health estimates.

email: verano13 [at] uw [dot] edu