Geert-Jan Huizing
👋 I recently completed my PhD in machine learning and computational biology (September 2024) under the joint supervision of Laura Cantini at Institut Pasteur and Gabriel Peyré at ENS PSL.
My research focused on leveraging optimal transport techniques for analyzing single-cell multiomics data, bridging the fields of machine learning and genomics. Slides from my defense.
I am now seeking research scientist or postdoctoral opportunities where I can apply my expertise in machine learning to advance genomics and computational biology.
Publications
Learning cell fate landscapes from spatial transcriptomics using Fused Gromov-Wasserstein
bioRxiv, 2024
GJ Huizing, G Peyré, L Cantini
Paired single-cell multi-omics data integration with Mowgli
Nature Communications, 2023
GJ Huizing, IM Deutschmann, G Peyré, L Cantini
Unsupervised Ground Metric Learning using Wasserstein Singular Vectors
International Conference on Machine Learning (ICML), 2022
GJ Huizing, L Cantini, G Peyré
Optimal transport improves cell-cell similarity inference in single-cell omics data
Bioinformatics, 2022
GJ Huizing, G Peyré, L Cantini
Education
Ph.D. in computational biology
Institut Pasteur & ENS PSL
M2 Data Science (masters’ degree)
Institut Polytechnique de Paris, Paris
Diplôme d'ingénieur (masters’ degree)
Télécom Paris, Paris
MPSI / MP*
Classe préparatoire Masséna, Nice