Léonie Borne, Phd
AeroLeads people directory · profile

Léonie Borne, Phd Email & Phone Number

Research & Data Scientist at Pulse Audition
Location: Antibes, Provence-Alpes-Côte d'Azur, France 8 work roles 5 schools
LinkedIn matched
✓ Verified Jun 2026 3 data sources Profile completeness 86%

Contact Signals

LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Research & Data Scientist
Location
Antibes, Provence-Alpes-Côte d'Azur, France

Who is Léonie Borne, Phd? Overview

A concise factual answer block for searchers comparing this professional profile.

Quick answer

Léonie Borne, Phd is listed as Research & Data Scientist at Pulse Audition, based in Antibes, Provence-Alpes-Côte d'Azur, France. AeroLeads shows a matched LinkedIn profile for Léonie Borne, Phd.

Léonie Borne, Phd previously worked as Data Scientist at Pulse Audition and R&D project manager - Medical image segmentation at Inria Startup Studio. Léonie Borne, Phd holds Ph.D. In Medical Image Analysis from Université Paris-Saclay.

Company email context

Email format at Pulse Audition

This section adds company-level context without repeating Léonie Borne, Phd's masked contact details.

Pulse Audition

Review company-level records connected to Léonie Borne, Phd before choosing the right outreach path.

Profile bio

About Léonie Borne, Phd

✅ Machine Learning, Deep Learning ✅ Medical Imaging, Audio Processing ✅ Project ManagementAs a research engineer with a passion for developing artificial intelligence-based solutions for healthcare, I currently work as a Data Scientist at Pulse Audition.

Current workplace

Léonie Borne, Phd's current company

Company context helps verify the profile and gives searchers a useful next step.

Pulse Audition
Pulse Audition
Research & Data Scientist
AeroLeads page
8 roles

Léonie Borne, Phd work experience

A career timeline built from the work history available for this profile.

R&D Project Manager - Medical Image Segmentation

Sophia Antipolis

Technical lead of the DeepTech start-up project NeuroPin (https://neuropin.squarespace.com) proposing a deep learning software for clinical MRI segmentation through federated learning.- Product definition: business needs identification; competitor research.- Data management: locate the data sources to generate relevant models; gather, transform and clean.

Apr 2022 - Sep 2022

Post-Doctoral Scientist - Translational Neuroimaging

Newcastle, Australia

Development of unsupervised machine learning approaches on large multimodal databases (MRI, cognition, genetics, etc) to identify suitable participants for dementia clinical trials.- Data management: functional and structural MRI datasets with up to ~3,000 participants.- Methods implementation: dimensionality reduction (PLS/CCA, manifold learning).

Jan 2020 - Mar 2022

Teaching Assistant - Computer Sciences

Orsay, Île-de-France, France

Taught undergraduate computer science, including advanced object-oriented programming (Java), operating system (C) and data structure/fundamental algorithms (C++)

Oct 2016 - Oct 2019

Phd Candidate – Brain Image Segmentation

Saclay, Île-de-France, France

Design of a computer vision algorithm, based on deep learning, dedicated to the automatic recognition of cortical sulci from MRI. The model makes 20% less errors and is 15 times faster than previous solutions. The pipeline is available in Brainvisa and used by researchers internationally.- Methods implementation: 3D convolutional neural network (UNet).

Oct 2016 - Sep 2019

Research Assistant - Pattern Recognition

Cea

Design and comparison of three computer vision algorithms for automatic recognition of local cortical sulci patterns, including one based on a 3D recurrent neural network.

Apr 2016 - Sep 2016

Research Assistant - Machine Learning To Model Cognition

Maynooth, Comté De Kildare, Irlande

Designed a spiking neural network with dynamic synapses for language classification (Python).

Jul 2015 - Aug 2015

Research Assistant - Statistics For Metabolic Phenotyping

Paris, France

Analysed mass spectrometry signals from animals fed with GMO maize.

Apr 2015 - May 2015
5 education records

Léonie Borne, Phd education

Research Master In Computer Sciences, Informatics: Intelligent Systems

Machine Learning, Data Mining (major), Distributed Artificial Intelligence, Multi-Agent Systems, Data Warehouse, Multimedia Databases.

Biology, Chemistry, Physics, Earth Sciences

Cpge Au Lycée Pierre Corneille (Rouen)

Baccalauréat Scientifique, Spécialité Mathématiques, Mention Très Bien

Lycée George Dumézil (Vernon)
FAQ

Frequently asked questions about Léonie Borne, Phd

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

What company does Léonie Borne, Phd work for?

Léonie Borne, Phd works for Pulse Audition.

What is Léonie Borne, Phd's role at Pulse Audition?

Léonie Borne, Phd is listed as Research & Data Scientist at Pulse Audition.

Where is Léonie Borne, Phd based?

Léonie Borne, Phd is based in Antibes, Provence-Alpes-Côte d'Azur, France while working with Pulse Audition.

What companies has Léonie Borne, Phd worked for?

Léonie Borne, Phd has worked for Pulse Audition, Inria Startup Studio, University Of Newcastle, Iut D'Orsay, and Cea - Commissariat À L'Énergie Atomique Et Aux Énergies Alternatives.

How can I contact Léonie Borne, Phd?

You can use AeroLeads to view verified contact signals for Léonie Borne, Phd at Pulse Audition, including work email, phone, and LinkedIn data when available.

What schools did Léonie Borne, Phd attend?

Léonie Borne, Phd holds Ph.D. In Medical Image Analysis from Université Paris-Saclay.

Find 750M verified contacts

Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.