Alexander Johnson-Vázquez
Seattle, WA
About Me
I am a 3rd-year PhD student in the Applied Mathematics Department at the University of Washington where I work with Bamdad Hosseini and Sasha Aravkin. Broadly, I work on problems related to measure transport, uncertainty quantification, optimization, and machine learning. More specifically, I’m interested in analyzing generative models, such as stochastic interpolants and diffusion-based methods, for principled sample-driven dynamic measure transport. Additionally, I’m interested in leveraging these methods for sampling applications in science and engineering. Prior to beginning my PhD, I completed a BA in Economics and a BS in Mathematics at BYU in Provo, Utah.
contact: verano13 [at] uw [dot] edu
news
| Oct 03, 2025 | Organized a minisymposium with Alexander Hsu, Juan Felipe Osorio Ramirez, Michele Martino, and Bamdad Hosseini on Scientific machine learning at SIAM PNW in Seattle, WA! |
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| Jul 14, 2025 | Presented a poster of our work on transport methods versus MCMC for conditional sampling at the IPAM workshop on Sampling, Inference, and Data-Driven Physical Modeling in Scientific Machine Learning! |
| Aug 08, 2024 | I will be presenting our work at JSM 2024 in Portland, Oregon on correcting correlated estimates for meta-analysis. |