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 generative AI and deep learning, and about applying these methods to real-world scientific problems.
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 am a data science intern at the Johns Hopkins Applied Physics Laboratory, where I am working 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. In Summer 2024, I was at the University of Tennessee, Knoxville for the Quantum Algorithms and Optimization REU under the supervision of James Ostrowski.
I will be applying to PhD programs in the upcoming cycle, and I am always happy to connect about math, generative modeling, inverse problems, scientific machine learning, and related opportunities. Feel free to reach out via email or my socials, and click below to view my full CV.
News
- 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.
- I was named a 2026 Goldwater Scholar, a national award recognizing undergraduate researchers in STEM.