Matthieu Heitz
Postdoctoral Fellow
I'm working on developing mathematical and computational tools to analyze high-dimensional genomics data and model development in living organisms.
Supervisor
Research Classification
Research Interests
Optimal Transport
Machine Learning
Bioinformatics
Research Centres, Clusters, Institutes
Research Options
I am available and interested in collaborations (e.g. clusters, grants).
I am interested in and conduct interdisciplinary research.
I am interested in working with undergraduate students on research projects.
Publications
- The DNA-based global positioning system—a theoretical framework for large-scale spatial genomics (2022)
- Ground Metric Learning on Graphs (2021)
Journal of Mathematical Imaging and Vision, - Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning (2018)
SIAM Journal on Imaging Sciences, 11 (1), 643--678 - Optimal transport-based dictionary learning and its application to Euclid-like Point Spread Function representation (2017)
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