Sabrina Palis
AI & Data Science Specialist · Independent Researcher · Educator · Mentor · Consultant
Profile
Sabrina Palis is an Artificial Intelligence and Data Science specialist whose work brings together research, education and software development. She develops AI systems, data science projects and educational resources with a particular interest in responsible artificial intelligence, scientific discovery and decision-support systems.
She is an alumna of the Udacity Institute of AI and Technology, where she completed the Master of Science in Artificial Intelligence in partnership with Woolf. Her academic background also includes a Master of Arts in Education with Merit from the University of Nottingham and a Postgraduate Certificate in Education (PGCE) with Qualified Teacher Status (QTS), a professional teaching qualification in England and Wales. Alongside these degrees, she has completed numerous advanced programmes in artificial intelligence, machine learning and data science through competitive scholarship initiatives.
Her professional activities include university teaching, private tutoring, technical mentoring in artificial intelligence, machine learning, data science and business intelligence, independent research, technical consulting, and the assessment and certification of candidates as a qualified juror for the French RS6891 certification in Generative Artificial Intelligence. Her tutoring activities have included the Da Vinci Program of Crimson Global Academy and Groupe Réussite, where she prepared students for the competitive French classes préparatoires entrance examinations.
Earlier in her career, Sabrina Palis worked in international relations and economic development, including positions with the Comité France Chine of MEDEF and Bretagne International. This background complements her later work in artificial intelligence, education and research, bringing together technology, communication and international collaboration.
She publishes research, technical articles, open-source software and educational resources intended to make complex technical subjects more accessible to researchers, professionals and learners.
Current areas of activity
- Artificial Intelligence
- Machine Learning
- Data Science
- Independent Research
- University Teaching
- Professional Mentoring
- AI Certification Assessment
- Open-Source Development
- Scientific Communication