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

David Mis

Upcoming

I plan to attend the following upcoming conferences. Let me know if you will be there!

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.

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

Mar 2026

Measure flow path recovery in Bayes Hilbert spaces

SD Mis, MV de Hoop

Preprint, arXiv:2603.20329

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

May 2025

Semialgebraic Neural Networks: From roots to representations

SD Mis, M Lassas, MV de Hoop

International Conference on Learning Representations (ICLR 2025), Singapore

Talks

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

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

Inverse Days, Oulu, Finland, Dec 2024



Posters

Function graph transformers for 2D scalar Helmholtz inversion with sparse partial data

Foundations of Computational Mathematics (FoCM), Vienna, Austria, July 2026

Measure flows in Bayes Hilbert spaces: Particle methods and sampling

CBMS Conference, University of Houston, Dec 2025

Semialgebraic Neural Networks: From roots to representations

ICLR, Singapore, May 2025

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