Sabrina Palis
AI Systems & Data Specialist · Independent Researcher · Higher-Education Technical Educator · Mentor · Consultant · Generative AI Certification Juror
Profile
Sabrina Palis is an AI systems and data specialist whose work brings together applied artificial intelligence, computational research, analytics and technical education. She designs auditable systems that help people examine complex information, understand uncertainty and make better decisions while retaining meaningful human oversight.
She holds a Master of Science in Artificial Intelligence with First Class Honours from the Udacity Institute of AI and Technology and Woolf. Her academic background also includes a Master of Arts in Education with Merit from the University of Nottingham, an MBA from Universidad Isabel I, a Licence d’anglais from Université Rennes 2, and a Postgraduate Certificate in Education with Qualified Teacher Status in England and Wales.
Her postgraduate business and management training also includes multiple ENEB títulos propios, including specialist study in Big Data, management, analytics and digital transformation.
Her technical development has been continuous since 2017. Beginning with a Google Developer Scholarship Challenge, she pursued structured study across software development, deep learning, reinforcement learning, autonomous systems, data science, computer vision, cloud technologies and generative AI. This work developed through professional programmes, specialist courses, scholarships, self-directed study and extensive project-based practice, eventually culminating in the MSc in Artificial Intelligence in 2026.
A broader record of technical and professional certifications, including issuer and verification links where available, is maintained on LinkedIn.
Her current professional activities include higher-education technical education and curriculum design, technical mentoring in data analysis, business intelligence, machine learning and applied AI, independent research, and AI and data consulting. She also serves as a qualified juror for the French RS6891 professional certification in Generative Artificial Intelligence, assessing candidates' technical reasoning, methodology, documentation and communication.
She also accepts a limited number of private tutoring students on a highly selective basis. Her tutoring work has included the Da Vinci Program of Crimson Global Academy and Groupe Réussite, with experience supporting advanced learners and preparing students for selective French classes préparatoires entrance examinations.
Her technical and research interests include explainable and human-in-the-loop AI, decision-support systems, anomaly detection, scientific signal and time-series analysis, agentic workflows, analytics and visualisation, and AI-assisted scientific exploration. Across these areas, she places particular emphasis on evidence, uncertainty, reproducibility and human judgement.
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. These roles involved international communication, economic development, information and communication work, and France–China business contexts.
Writing and public scholarship
Sabrina Palis also publishes essays and technical reflections on Medium under the name Sabrina Jorgenson. This writing extends her work beyond software projects into questions of artificial intelligence, language, cognition, representation, mathematics and scientific thought.
- The Linguistic Creature: Language, AI, and the Survival of Information
- I Asked AI to Rate My Face. It Modeled My Mind Instead
- The World Is Not Made Of Things
- Spinors at the Intersection of Two Geometries
- Are We Asking the Wrong Question About Consciousness?
Selected current work
- BeLedgerReady, an explainable financial anomaly analysis and audit-readiness assistant.
- Industry Integrated AI Systems Synthesis , an auditable decision-support architecture for anomaly triage in safety-critical aerospace environments.
- Bioacoustic Topology and Latent Physiological Topology , exploratory research on acoustic signals as latent dynamical systems.
- PyroNav and intibi, current projects exploring hazard-aware wildfire evacuation and interactive interpretation of H-alpha solar observations.
- Airline Said No, an explainable public-interest assistant for disrupted air-travel cases and passenger-rights reasoning.
Current areas of activity
- AI systems and decision support
- Computational research and scientific exploration
- Explainable and human-in-the-loop AI
- Anomaly detection and signal analysis
- Agentic workflows and governed orchestration
- Data analytics, Big Data and visualisation
- Higher-education technical education and curriculum design
- Professional mentoring in AI, data and business intelligence
- Generative AI certification assessment
- Technical writing, open science and scientific communication