Maxime Riché Email & Phone Number
Who is Maxime Riché? Overview
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Maxime Riché is listed as AI Researcher at Center on Long-Term Risk, a with 7 employees, based in London, England, United Kingdom. AeroLeads shows a matched LinkedIn profile for Maxime Riché.
Maxime Riché previously worked as Research Engineer at Center On Long-Term Risk and Data Scientist & Machine Learning Engineer at Sopra Steria. Maxime Riché holds Ingénieur Génie Physique Insa Equivalent To A Master’S Degree In Physics And Materials Sciences, Ingénierie Physique / Physique Appliquée from Institut National Des Sciences Appliquées De Toulouse.
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About Maxime Riché
Machine learning enthusiasm, AI safety and Cooperative AIDeep Learning, PyTorch, Computer Vision, MARL, and more recently NLPPython & Go
Listed skills include Materials Science, Data Acquisition, Design Of Experiments, Ni Labview, and 14 others.
Maxime Riché's current company
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Maxime Riché work experience
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Research Engineer
- Cooperative AI research: implementing, training, and studying MARL algorithms and environments to explore and solve cooperation and bargaining failures.- Macro strategy modeling: using game theory to study bargaining failure dynamics in multi-agent systems- Evaluating LLM: game theory dataset generation via LLM, cooperative capability evaluation(e.g. evaluation of the rationality of chatbots, extending Anthropic's Persona evaluations, extending Machiavelli benchmark to cooperative behaviors, bargaining situations, etc.)
Data Scientist & Machine Learning Engineer
In short:Deep Learning, Pytorch & Tensorflow2.0, Computer Vision (Classif. / Detect. / Seg.) Python & GoGCP & AWS============ AIRBUS DEFENCE AND SPACE (Intelligence) ============Developed deep learning models for the detection of objetcs and artefacts in satellite images• Acquisition of data / data wrangling / data pipeline• Deep learning: Pytorch & Tensorflow2.0 / Computer Vision (Class. / Detect. / Seg.) • Python / Docker / Git / Scikit-learn / Pandas / Numpy / GCP• GIS: OSM / QGIS / GeoJSONGave training sessions (36h) on deep learning applied to computer vision Developed micro-services on GCP (Google cloud) to manage satellite images metadata• Micro services / GCP / Kubernetes• Satellite Images processing with Gdal • Go language / Docker / BDD (testing) / Git / ElasticSearch============ AIRBUS NAVBLUE ============ Developed a solution to decode aircraft data on AWS. • Cloud AWS / DevOps: CloudFormation and Ansible • Aircraft data decoding, ARINC 717 Norm • Python / Java / BDD (testing) / Git============ THALES AVIONICS ============ Developed a tool to extract data from scanned documents• Data extraction / OCR / Machine learning: NLP (Document classification) / OCR• Deep Learning: Computer vision (object detection on documents) • Python / Git / Scikit-learn / Pandas / Numpy
Kaggler
Competitor in Kaggle international competitions• 2018 - Airbus Ship Detection Challenge. Object segmentation on satellite images. Computer vision, deep learning. 175th / 883• 2019 - Human Protein Atlas Image Classification. Multi-label classification of proteins. Computer vision, deep learning. 599th / 2172• My kaggle profile: https://www.kaggle.com/manuscrits
Data Analyst & Seo Expert
Website optimization• Audit of website performance, opportunity, and concurrence• SEO and SEA optimization (up to +150% traffic)• Automated marketing exploration• Tested fit for entrepreneurship
R&D Engineer
Developed nano-structured new-generation lithium-ion batteries• Designed, produced, characterized, and analyzed new nano-structures. • Identified critical knowledge.• Achieved goals and material production to move to the next development stage.• TEM, MEB, XRD, Raman, Thermal Analysis
R&D Engineer
Research on innovative nanotechnology for lithium-ion battery cathodes• LiNiMnO cathode fabrication and characterization• Electrochemical performances investigation on composite electrodes featuring various kinds of electronic additives and manufacturing processes
Metrological Bench Design And Control With Labview
Designed, realised, and automatised a metrological measurement bench • National Instruments products and LabView software
Quality Manager & Project Manager
Monitored quality, contracts negotiation, project management.
Colleagues at Center on Long-Term Risk
Other employees you can reach at longtermrisk.org. View company contacts for 7 employees →
Tristan Cook
Colleague at Center On Long-Term RiskLondon, England, United Kingdom
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Winston Oswald-Drummond
Colleague at Center On Long-Term RiskGreater Boston, United States
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Amrit Sidhu-Brar
Colleague at Center On Long-Term RiskMoreton-In-Marsh, England, United Kingdom
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Harriet Patterson
Colleague at Center On Long-Term RiskGreater London, England, United Kingdom
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Nicolas Macé
Colleague at Center On Long-Term RiskToulouse, Occitanie, France
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Harry Day
Colleague at Center On Long-Term RiskGreater Brighton And Hove Area, United Kingdom
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Julian Stastny
Colleague at Center On Long-Term RiskLondon, England, United Kingdom
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Mia Taylor
Colleague at Center On Long-Term RiskChicago, Illinois, United States
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Avery Griffin
Colleague at Center On Long-Term RiskLondon, England, United Kingdom
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Anthony Digiovanni
Colleague at Center On Long-Term RiskUnited Kingdom
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Maxime Riché education
Ingénieur Génie Physique Insa Equivalent To A Master’S Degree In Physics And Materials Sciences, Ingénierie Physique / Physique Appliquée
Baccalauréat Scientifique (High School Diploma), Science Specialisation, 17/20, First-Class Honors (Mention Très Bien), Top 1-2% At The National Level.
Frequently asked questions about Maxime Riché
Quick answers generated from the profile data available on this page.
What company does Maxime Riché work for?
Maxime Riché works for Center on Long-Term Risk.
What is Maxime Riché's role at Center on Long-Term Risk?
Maxime Riché is listed as AI Researcher at Center on Long-Term Risk.
Where is Maxime Riché based?
Maxime Riché is based in London, England, United Kingdom while working with Center on Long-Term Risk.
What companies has Maxime Riché worked for?
Maxime Riché has worked for Center On Long-Term Risk, Sopra Steria, Personnal, Freelance Web Development, and Nanoe.
Who are Maxime Riché's colleagues at Center on Long-Term Risk?
Maxime Riché's colleagues at Center on Long-Term Risk include Tristan Cook, Winston Oswald-Drummond, Amrit Sidhu-Brar, Harriet Patterson, and Nicolas Macé.
How can I contact Maxime Riché?
You can use AeroLeads to view verified contact signals for Maxime Riché at Center on Long-Term Risk, including work email, phone, and LinkedIn data when available.
What schools did Maxime Riché attend?
Maxime Riché holds Ingénieur Génie Physique Insa Equivalent To A Master’S Degree In Physics And Materials Sciences, Ingénierie Physique / Physique Appliquée from Institut National Des Sciences Appliquées De Toulouse.
What skills is Maxime Riché known for?
Maxime Riché is listed with skills including Materials Science, Data Acquisition, Design Of Experiments, Ni Labview, Project Management, English, Lithium Ion Batteries, and Electrochemical Characterization.
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