ADEEB NOOR
About / Speaking & Media

Ideas become useful when they can be explained across disciplines.

I speak and teach at the intersection of AI, decision intelligence, digital health, education and institutional transformation — with an emphasis on translating technical ideas into consequential decisions and operating systems.

Invite me to speak →Research topics →Venture work →
Selected public engagement

Research, teaching and translation beyond the paper.

The examples below are public records of speaking, teaching and research communication. They reflect a long-running interest in making complex technical work legible to researchers, professionals, students and decision-makers.

KAUST · 2016

KAUST Research Conference Speaker

Speaker profile from the 2016 KAUST research conference, representing work in bioinformatics and computational approaches to biomedical problems.

Context: KAUST research conference
Domain: bioinformatics · biomedical computation
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GENERAL ASSEMBLY

Instructor & Practitioner Education

Public instructor profile documenting professional teaching with General Assembly, extending technical education beyond the university classroom.

Audience: professional learners
Bridge: academic depth → applied capability
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KAUST · PERSONALIZED MEDICINE

GenomeFit & Translational Research

KAUST feature on an analytical tool designed to support more individualized genetic screening and treatment decisions, illustrating the translation of computational research into a venture context.

Theme: personalized medicine
Translation: research → analytical tool → venture
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CURRENT

AI, Institutions & Consequential Decisions

Current speaking themes connect model evaluation to allocation, governance and organizational action — particularly where AI systems influence scarce opportunities, health decisions or institutional priorities.

Topics: RIDI · AI governance · digital health
Audience: researchers · executives · public institutions
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Speaking themes

What I can speak about now.

Sessions can be technical, executive or interdisciplinary depending on the audience and the decision they need to make.

Decision IntelligenceWhy the same AI scores can produce different allocations and different consequences.
Digital HealthClinical innovation, biomedical knowledge, health platforms and personalized medicine.
AI & EducationHow GenAI can support curriculum design without erasing disciplinary depth or evidence.
Institutional TransformationTurning strategy into governance, operating models and measurable capability.

Planning a conference, executive session or research seminar?

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