Our trainers Home Training Our trainers Trainers When choosing Ritme Academy, you can lean on exceptional experts who are not only acustomed to your ecosystem but also able to translate your needs into specific training objectives. All our instructors are men and women with a solid scientific and technical background, specialized in subject related to your concerns: Statistics, Publishing, Econometrics, Finance, Optimization, Laboratory processes, Quality and Security.. Academics or professional consultants with strong experience in Corporate or Industriel sector, all of them: provide state-of-the-art training courses and consulting servicesare widely recognised among their community for their research or expertisehave strong teaching skillscarefully adjust their approach to your specific needs Olivier An engineer by training, Olivier has extensive experience in educational innovation, serious game design, and specialized training. View profile Cynthia A PhD graduate from the University of Paris-Saclay, trained in medical writing and clinical studies, Cynthia brings her expertise to scientists in the healthcare sector. View profile Fabien As a consultant and trainer, Fabien offers advisory services in microscopy and image analysis, ranging from the development of custom imaging systems to training and strategic support. View profile Laure A teacher and trainer, Laure has diverse experience in managing public health projects, scientific writing, and training. View profile Julien An engineer and consultant, Julien has extensive experience in managing technological projects, entrepreneurship, and digital transformation consulting. View profile Clément C A chemical engineer by training, with 10 years of experience in multimedia training, Clément is an expert in educational engineering, design, and multimedia production. View profile Philippe Pagès Philippe has been working with our clients for nearly 25 years, mainly on optimization issues in the industrial sector. View profile Nathaële Vincent Nathaële has a degree in biology and has specialized in the design of digital training courses. She has more than 20 years of experience as a technician and scientific documentalist at INRA. View profile Salima Salima hold a PHD in economics from the University of Paris 1 Panthéon-Sorbonne, and spares no efforts when it comes to passing on knowledge and know-how. She is genuinely devoted to Educational purposes. View profile Edouard Duchesnay Edouard is one of our specialists in Open Source and Machine Learning technologies dedicated to scientific research. View profile Antoine Couturier Research engineer for over 20 years, Antoine is our Origin software specialist. View profile Stefano Caruso Bioinformatician, passionate about bioinformatics and statistics, Stefano works mainly on various large scale/high throughput biological data. View profile Keith Hodson Keith Hodson has over 25 years of experience in scientific publishing and training, to insure the impact of the messages conveyed. View profile Hervé Maisonneuve Hervé leads training projects dedicated to scientific and technical communication. View profile Jonathan Jonathan holds a PHD in psychological and educational sciences. He supports researchers in their qualitative and quantitative data analysis projects in social sciences. View profile Clément Flayac Engineer specialized in microbial ecology, Clément is passionate about the transformation of organizations towards a more agile operation. View profile Mabrouk Chetouane Mabrouk Chetouane is Head of Research and Strategy at BFT IM, Paris. He has worked as a senior economist and econometrician for IHS-Markit, Banque de France and Société Générale Asset Management. View profile Training domain All Intelligence Artificielle Générative Analysis Change Management Chemistry and biology Data Science Econometrics / Finance Engineering and development Laboratory processes and applications Open Source Publishing Scientific communication and writing Theoretical and applied statistics All Intelligence Artificielle Générative Analysis Change Management Chemistry and biology Data Science Econometrics / Finance Engineering and development Laboratory processes and applications Open Source Publishing Scientific communication and writing Theoretical and applied statistics Upcoming trainings Intelligence Artificielle Générative Generative Artificial Intelligence for Scientific Monitoring Objectives Describe the general working principle of Deep Learning and Generative Artificial Intelligence. Use advanced prompting techniques to meet business needs. Synthesize articles and scientific content by producing concise summaries that highlight key points and main conclusions. Improve technological monitoring by configuring, customizing, and automating generative artificial intelligence tools to monitor and summarize the latest research published in specific fields. Identify key points in a specific scientific field and detect missing research topics needed to complete an existing theoretical model. Translate articles. 17 and 21 March Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Introduction to R for Basic Statistical Analysis with the Help of Generative AI (Beginner) Objectives Discover the fundamentals of R and generative AI tools. Learn the basics of descriptive statistical analysis and apply them to real-world datasets. Learn how to automate common tasks in R using generative AI. Master the creation of simple visualizations and data presentation. Get introduced to the concepts of simple regressions and hypothesis testing. Generate workflows and automated reports with R Markdown. 31 March01, 02 and 03 April Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Artificial Intelligence for Scientific Communication and Popularization Objectives Understand the fundamentals of Generative AI and its applications in communication Use AI in communication strategy: defining target audiences, structuring messages, choosing formats… 01 and 02 April Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Prompt Engineering Objectives Describe how a Generative AI (GenAI) works in order to optimize its use in daily tasks Apply prompt engineering methods to use GenAI tools effectively Identify use cases within your professional environment 04 April Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Artificial Intelligence for Image Analysis Objectives Acquisition of the basics in image analysis Mastery of tools and techniques for AI-assisted analysis Hands-on practice and development of image pipelines using Generative AI 08 and 15 April Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Integrating Artificial Intelligence into your scientific teams Objectives Understand Generative AI, its functioning, and its limitations Explore the applications of Generative AI and use cases for scientists Define a plan for integrating Generative AI into your team/laboratory and prioritize the first actions 13 May Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Generative AI for Qualitative Analysis Objectives Understand the fundamentals of generative AI and its applications. Master AI-assisted qualitative analysis techniques. Use AI for analyzing and presenting qualitative data. 02 and 03 June Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Enhance your statistical analyses with R and Generative AI (Advanced) Objectives • Deepen your mastery of R to perform advanced statistical analyses.• Discover and leverage generative AI tools to automate common tasks in data analysis.• Optimize analytical processes by integrating automated workflows.• Structure complex workflows effectively and innovatively.• Strengthen the understanding and application of advanced statistical concepts to real and simulated cases. 09, 10, 12 and 13 June Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Generative Artificial Intelligence for Research Education Objectives Discover the general principles of Deep Learning and Generative Artificial Intelligence, and benefit from the potential of Generative AI tools. Use advanced prompting techniques to meet business needs. Classify generative AI tools according to the media they implement (text-to-text, text-to-image, etc.), and select the right tool for a specific use case. Produce educational activities such as course notes, study guides, or chapter summaries to assist students in their learning. Design exams and quizzes based on the training content developed for students, saving time in course preparation. Generate scenarios or case studies for group projects, based on current topics or scientific advancements, to expand the possibilities of course facilitation (content, group workshops, etc.). Adapt your teaching and prepare your students for the Generative AI revolution. 26 June03 July Register Ask for a quote Previous Next
