cv
My Curriculum Vitae
Basics
| Name | Matthieu Dagommer |
| Label | Machine Learning Scientist |
| Url | https://matdagommer.github.io |
Work
- 2023.07 - 2023.12
- 2023.01 - 2023.07
- 2022.05 - 2022.07
- 2021.07 - 2021.12
- 2020.10 - 2020.12
Education
-
2022.08 - 2023.12 New York, United States
MS
Columbia University
Biomedical Engineering
- Machine Learning
- Bayesian Statistics
- Functional Genomics
- Magnetic Resonance Imaging
- Computational Neuroscience
- Computational Modeling
- Biomedical Innovation
-
2019.09 - 2022.09 Paris, France
Diplôme d'ingénieur
ESPCI Paris - PSL
Physique-Chimie
- Wave Physics
- Quantum Mechanics
- Statistical Physics
- Solid-state Physics
- Continuum Mechanics
- Partial Differential Equations
- Complex Analysis
- Statistics and Modeling
- Signal Processing
- Electronics
- Optics
- Organic Chemistry
- Inorganic Chemistry
- Analytical Chemistry
- Group Theory in Chemistry
- Crystalline Materials
- Physiology
- Biochemistry
- Cellular Biology
- Biomedical Imaging
-
2017.09 - 2019.09 Villeneuve-d'Ascq, France
Diplôme Universitaire de Technologie (DUT)
IUT A de Lille
Mesures Physiques
- Analysis
- Algebra
- Thermodynamics
- Mechanics
- Electronics
- Optics
- General Chemistry
- Analytical Chemistry
- Metrology
Certificates
| Machine Learning | ||
| Stanford University | 2021-09-01 |
Publications
-
2023.12.18
Skills
| Python | |
| Numpy | |
| Pandas | |
| Scikit-Learn | |
| PyTorch | |
| Tensorflow | |
| Keras | |
| JAX | |
| RDKit |
Languages
| French | |
| Native speaker |
| English | |
| Fluent |
Interests
| Physics | |
| Geothermal Energy |
| Biomedical Imaging | |
| MRI | |
| MRS |
| Cheminformatics | |
| RDKit | |
| Chemprop | |
| DeepChem |