Mathieu Pont
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Mathieu Pont Email & Phone Number

Post-doctoral researcher at RPTU Kaiserslautern-Landau
Location: Germany 8 work roles 3 schools
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Current company
Role
Post-doctoral researcher
Location
Germany
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Who is Mathieu Pont? Overview

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Mathieu Pont is listed as Post-doctoral researcher at RPTU Kaiserslautern-Landau, a with 2061 employees, based in Germany. AeroLeads shows a matched LinkedIn profile for Mathieu Pont.

Mathieu Pont previously worked as Post-doctoral researcher at Lip6 - Laboratoire D'Informatique and Ph.D. Student at Lip6 - Laboratoire D'Informatique Sorbonne Université/Cnrs. Mathieu Pont holds Master, Intelligence Artificielle - Machine Learning For Data Science, (S7) 3 / 33 ; (S8) 1 / 33 : (S9) 1 / 37 ; (S10) 1 / 39 from Université De Paris.

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RPTU Kaiserslautern-Landau

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About Mathieu Pont

Mathieu Pont is a Post-doctoral researcher at RPTU Kaiserslautern-Landau. He is proficient in Anglais.

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RPTU Kaiserslautern-Landau
Rptu Kaiserslautern-Landau
Post-doctoral researcher
Germany
Website
Employees
2061
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8 roles

Mathieu Pont work experience

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Post-Doctoral Researcher

Ville De Paris, Île-De-France, France

Topological Data Analysis, Machine Learning and Visualization.

Dec 2023 - Sep 2024

Ph.D. Student

Ville De Paris, Île-De-France, France

Thesis in Topological Data Analysis, focused on the analysis of ensembles of scalar fields based on their merge trees and persistence diagrams with applications in machine learning, visualization and data reduction.Contributions: - Definition of a new metric between merge trees purposely designed to easily compute geodesics, barycenters and clustering of merge trees. - Adaptation of the Principal Component Analysis framework to the Wasserstein metric space of merge trees and persistence diagrams.- Adaptation of the Autoencoder framework to the Wasserstein metric space of merge trees and persistence diagrams.

Oct 2020 - Nov 2023

Master 1 Research Intern

Paris

Use of Natural Language Processing techniques for the analysis of biomedical corpora (PubMed database) to establish connections between diseases, genes, symptoms, factors, etc.Techniques used: Text Data Cleaning, Embedding (SVD, GloVe, BERT), Co-Clustering (Modularity, WC-NMTF), Named Entity Recognition (Metric Learning).

May 2019 - Jul 2019

Bachelor Research Intern

Région De Toulouse, France

Comparison of the AMOEBA multi-agent system (developed as part of a Ph.D. thesis within the SMAC team at IRIT) with other learning techniques that I had to implement, such as Deep Q Learning and NEAT (NeuroEvolution of Augmenting Topologies). This comparative study was conducted using the MarioAI benchmark in a reinforcement learning framework.

Apr 2018 - Jul 2018

Dut Research Intern

Région De Toulouse, France

- Design of a thermal monitoring system for a server room (using a Raspberry Pi).- Update of documentation through the completion of a project using the EV3 robotics kit (the project involves designing a robot that must retrieve two samples placed randomly on a field and bring them back to a designated area).

Apr 2016 - Jun 2016
3 education records

Mathieu Pont education

Master, Intelligence Artificielle - Machine Learning For Data Science, (S7) 3 / 33 ; (S8) 1 / 33 : (S9) 1 / 37 ; (S10) 1 / 39

FAQ

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Quick answers generated from the profile data available on this page.

What company does Mathieu Pont work for?

Mathieu Pont works for RPTU Kaiserslautern-Landau.

What is Mathieu Pont's role at RPTU Kaiserslautern-Landau?

Mathieu Pont is listed as Post-doctoral researcher at RPTU Kaiserslautern-Landau.

Where is Mathieu Pont based?

Mathieu Pont is based in Germany while working with RPTU Kaiserslautern-Landau.

What companies has Mathieu Pont worked for?

Mathieu Pont has worked for Rptu Kaiserslautern-Landau, Lip6 - Laboratoire D'Informatique, Lip6 - Laboratoire D'Informatique Sorbonne Université/Cnrs, Lip6 - Le Laboratoire D'Informatique De Sorbonne Université, and Laboratoire D'Informatique Paris Descartes (Lipade).

How can I contact Mathieu Pont?

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What schools did Mathieu Pont attend?

Mathieu Pont holds Master, Intelligence Artificielle - Machine Learning For Data Science, (S7) 3 / 33 ; (S8) 1 / 33 : (S9) 1 / 37 ; (S10) 1 / 39 from Université De Paris.

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