Alexandre Abraham Email & Phone Number

Bazemont, Fr

Ville De Paris, Île-De-France, France

Leading the Evidence project to demonstrate the efficiency of the Implicity Software platform through advanced statistical analysis of SNDS data, including survival models, propensity weighting, matching, and regression techniques.Publications:* Clinical Impact of a Universal Remote Monitoring Platform for ICD and CRT-D Follow-up from a Large Real-World Registry.* Cost Impact of the Use of a Universal Cardiac Implantable Electronic Devices Remote Monitoring Solution: Results of the Evidence RM Study

Paris, Île-De-France, France

Paris 09, Île-De-France, France

Paris Area, France

Maintained and enhanced the recommendation stack- Added functional tools and monitoring- Integrated feature requests from clients- Handled business and functional emergenciesLed model engineering initiatives for retargeting business- Adding content-based (image, text) information- Enhancing the offline evaluation of model changes [1]- Adding incrementality information to recognize organic sales- Adding Prod2Vec (product embeddings) informationWorked on cold start recommendation based on data sharing between partners- Technical lead of the team- Participated in the user clustering initiative- Created a model for this specific business caseCompany life- Recruitment for ML engineers- Supervised 2 internships- Led initiatives to improve retention in the company- Represented the company in several conferences (ICML, RecSys...)[1] Offline A/B testing for Recommender Systems - Alexandre Gilotte, Clément Calauzènes, Thomas Nedelec, Alexandre Abraham, Simon Dollé

Saclay

Post-doctoral activities: follow-up research, publications.Lead developper and evangelist of nilearn software, a Python package for machine learning in neurimaging using scikit-learn.

Cea Saclay

Learning brain functional atlases modeling inter-subject variabilityRecent studies have shown that resting-state spontaneous brain activity unveils intrinsic cerebral functioning and complete information brought by prototype task study. From these signals, we set up a functional atlas of the brain, along with an across-subject variability model. The novelty of our approach lies in the integration of neuroscientific priors and inter-individual variability in a probabilistic description of the rest activity. This variability, ignored until now, may lead to learning of fuzzy atlases, thus limited in term of resolution. These models have been applied to ABIDE, a very large autism spectrum disorders dataset, on which we outperformed state of the art for diagnosis.This program yielded both numerical and algorithmic challenges because of the data volume but also because of the complexity of modelisation.- Resting State Functional Magnetic Resonance Imaging- Sparse dictionary learning (with TV+L1 regularization)- Stochastic Methods- Clustering

Cea Saclay

Development of nilearn, a python package aimed to facilitate the use of scikit learn for neuro imaging

Paris

Credit Agricole Technologies: maintenance and development of new features in the back-end of the account management phone application.Technologies: Java, Tomcat, J2EE

Adding goals to the multi-agent system handling the drones.

Paris, Île-De-France, France

Teacher for 10th grade students

Le Kremlin-Bicêtre

Olena Project – generic and efficient programming in C++ applied to image processing. Research activities, software engineering, ConceptC++ study, implementation of a watershed algorithm.

Paris

For EDF Research and Development : Human behaviour simulation, multi agent system written in Java Implementation of the new data model, GUI refactoring, Reinforcement learning.

Paris

Maintenance and development of the embedded software platform.

Doctor Of Philosophy (Ph.D.), Computer Science, First Class Honours

Learning functional brain atlases modeling inter-subject variability from resting-state functional MRI. Extension of a multi-subject.

Computer Sciences Master'S Degree, Artificial Intelligence And Decision

Master mention informatique spécialité intelligence artificielle et décision

Engineer’S Degree, Computer Science, Academic Research, Image Processing And Artificial Intelligence

Baccalaureate (High School Diploma), Biology/Biological Sciences, General, With Honours

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