David Mis

PhD Candidate

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

[david.mis@rice.edu]   [CV]   [GitHub]   [Google Scholar]

News

I will be attending CBMS Conference on Research at the Interface of Applied Mathematics and Machine Learning (AMML) 2025 at the University of Houston, December 8–12, where I’ll present a poster regarding our recent work on measure flows in Bayes Hilbert spaces.

I am looking forward to Inverse Days in Helsinki, Finland, from December 16–18, 2025, where I will be giving a talk.

I am organizing a minisymposium with Nick Boffi titled Measure flows for Inverse Problems and Machine Learning (MS35, MS52, and MS68) at the SIAM Conference on Uncertainty Quantification to be held in Minneapolis from March 22–26, 2026.

Education

Rice University
PhD, Computational and Applied Mathematics
2021–present, Houston, TX, USA
Advised by Dr. Maarten de Hoop

University of Texas
MS, Computer Science
2019–2021, Austin, TX, USA

University of Texas
BS, Computer Science
BS, Mathematics
BA, Economics and Chinese Language
2009–2014, Austin, TX, USA

Publications

Conference papers

Semialgebraic Neural Networks: From roots to representations
SD Mis, M Lassas, MV de Hoop
International Conference on Learning Representations (ICLR) 2025
May 2025, Singapore
[pdf] [arxiv] [conference]

Journal papers

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] [link]

Talks

Measure flows in Bayes Hilbert spaces
Inverse Days
Dec 2025, Helsinki, Finland

(Poster) Measure flows in Bayes Hilbert spaces: Particle methods and sampling
CBMS Conference
Dec 2025, University of Houston

Measure flows in Bayes Hilbert spaces: Diffeomorphism invariance, optimal control, and flocking
Geo-Mathematical Imaging Group Partners Meeting
Sep 2025, Rice University

Diffeomorphism invariant measure flows in Bayes Hilbert spaces
Applied Inverse Problems (AIP) 2025
Jul 2025, Rio de Janeiro, Brazil

Semialgebraic Neural Networks: From roots to representations
Inverse Days
Dec 2024, Oulu, Finland

Semialgebraic Neural Networks
Geo-Mathematical Imaging Group Partners Meeting
Nov 2024, Rice University

Matrix-Recurrent and Semialgebraic Neural Networks
Geo-Mathematical Imaging Group Partners Meeting
May 2023, Rice University

Professional Experience

Teaching

Rice University
Grader / Teaching Assistant
2021–present, Houston, TX
Grader: Differential Equations for Science and Engineering, Partial Differential Equations I, Applied Functional Analysis, Numerical Analysis
Graduate Teaching Assistant: Matrix Analysis

The Art of Problem Solving
Grader / Teaching Assistant
2020–2021, Virtual
Various high school mathematics courses

University of Texas
Undergraduate Teaching Assistant
2011–2012, Austin, TX
Courses: Computational Biology, Statistics for Biologists


Research

Rice University
PhD Research Assistant
2022–present, Houston, TX
Geo-Mathematical Imaging Group (GMIG)

University of Texas
Undergraduate Research Assistant
2010–2012, Austin, TX
Lab of Dr. Clause O. Wilke, Professor of Integrative Biology


Software Development

David Mis Software LLC
Software Developer
2018–2021, Houston, TX
Independent software consultant

Unaliwear
Cloud Engineer
2015–2018, Austin, TX
Principal architect of AWS infrastructure for consumer IOT device

Hewlett Packard
Software Developer
2014–2015, Austin, TX
Enterprise software development


Mentorship

Rice Data2Knowledge Capstone Project Mentor
Spring 2025, Rice University
NASA Orbital Transfer Project


Professional Activities

Minisymposium Organizer
Measure Flows for Inverse Problems and Machine Learning
March 2026, SIAM UQ ’26