Alex DeLise
Hi there! My name is Alex and I am a senior at Florida State University pursuing two degrees in Applied and Computational Mathematics and Computational Science. I am passionate about advancing the mathematical foundations of scientific machine learning, with interests in approximation theory, inverse problems, and sampling.
I am currently completing my honors thesis in generative compressed sensing under my advisor Nick Dexter in the Department of Scientific Computing. During Summer 2026, I was a data science intern at the Johns Hopkins Applied Physics Laboratory, where I worked in scientific machine learning and operations research.
In my previous summers, I have done two NSF Research Experience for Undergraduates. In Summer 2025, I was at Emory University for the Computational Mathematics for Data Science REU under the supervision of Matthias Chung. During Summer 2024, I was at the University of Tennessee, Knoxville for the Quantum Algorithms and Optimization REU under the supervision of James Ostrowski. I have also worked in operations research under Arda Vanli.
I am applying to PhD programs this cycle and am always happy to connect about mathematics, scientific machine learning, research opportunities, or anything else. Feel free to reach out via email or through my socials, and click below to view my full CV.
News
- Our paper, Active Learning for Conditional Generative Compressed Sensing, was accepted to NeurIPS 2026.
- Our manuscript, Active Learning for Conditional Generative Compressed Sensing, is now available on arXiv.
- Our manuscript, Optimal Linear Baseline Models for Scientific Machine Learning, was accepted for publication in Foundations of Data Science.