David Mis

I study mathematical machine learning for science and inverse problems.

PhD candidate
Department of Computational Applied Mathematics and Operations Research
Rice University, Houston, TX

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David Mis

Recent news

SIAM UQ minisymposium

I organized a minisymposium with Nick Boffi on measure flows for inverse problems and machine learning. Thank you to our wonderful speakers for making this minisymposium a great success!

Inverse Days

I returned from Inverse Days in Helsinki, Finland. I also attended last year, and both times it has been the highlight of my academic year.

CBMS AMML 2025

I attended CBMS at the University of Houston and presented a poster on measure flows in Bayes Hilbert spaces.

More news

Publications and preprints

May 2026

Function graph transformers universally approximate operators between function spaces

T Furuya, SD Mis, I Dokmanić, MV de Hoop, M Lassas

Preprint, arXiv:2605.17968

PDF arXiv
Mar 2026

Forward and inverse problems for measure flows in Bayes Hilbert spaces

SD Mis, MV de Hoop

Preprint, arXiv:2603.20329

PDF arXiv
Jan 2026

Hybrid operator learning of wave scattering maps in high-contrast media

A Balaji, T Teolis, SD Mis, JA Lara Benitez, C Wang, MV de Hoop

Preprint, arXiv:2602.11197

PDF arXiv
May 2025

Semialgebraic Neural Networks: From roots to representations

SD Mis, M Lassas, MV de Hoop

International Conference on Learning Representations (ICLR 2025), Singapore

PDF arXiv Conference
2012

Reduced mRNA secondary-structure stability near the start codon indicates functional genes in prokaryotes

TE Keller, SD Mis, KE Jia, CO Wilke

Genome Biology and Evolution, Volume 4, Issue 2, Pages 80-88

PDF Journal

Selected presentations

Forward and inverse problems for measure flows in Bayes Hilbert spaces

SIAM UQ, Minneapolis, Minnesota, March 2026

Measure flows in Bayes Hilbert spaces

Inverse Days, Helsinki, Finland, Dec 2025

Measure flows in Bayes Hilbert spaces: Particle methods and sampling

CBMS Conference (poster), University of Houston, Dec 2025

Diffeomorphism invariant measure flows in Bayes Hilbert spaces

Applied Inverse Problems 2025, Rio de Janeiro, Brazil, Jul 2025

Semialgebraic Neural Networks: From roots to representations

ICLR (poster), Singapore, May 2025

Semialgebraic Neural Networks: From roots to representations

Inverse Days, Oulu, Finland, Dec 2024

Academic background

University of Texas

MS, Computer Science, 2019-2021

University of Texas

BS Computer Science, BS Mathematics, BA Economics and Chinese Language, 2009-2014

Professional activities

Minisymposium organizer

Measure Flows for Inverse Problems and Machine Learning
SIAM UQ '26, March 2026

Rice Data2Knowledge Capstone Project mentor

NASA Orbital Transfer Project
Rice University, Spring 2025

Awards

SIAM UQ 2026 student travel award