Roy Saurabh

Federated AI

Federated Learning: Advancing AI without moving sensitive data

I design and deploy privacy-preserving, distributed learning architectures that meet the highest compliance standards—bridging research excellence with real-world scalability.

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Ethical Data Governance: From principles to operational reality

My work translates global ethical frameworks into enforceable data governance policies, enabling sovereign data ecosystems and equitable collaboration across institutions and borders.

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Learning Sciences & HCI: Human-centred design for equitable education

By integrating cognitive science, affective feedback, and participatory design, I help shape educational technologies that are inclusive, effective, and policy-ready.

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20+ years

experience in AI & learning science

€5–10M

Project budgets managed and delivered

220+

Developers managed and collaborated with

70B+

Records processed in privacy-preserving pipelines

Ongoing Research Projects

4,400+

analysed articles and counting…

Through rigorous academic inquiry, I address pressing global challenges by merging scientific evidence with responsible AI methodologies—ensuring societal impact at scale.

Affective Computing

Uncover insights into emotional states and psychological well-being, leveraging sensor-based analytics to enhance mental health support.

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Federated Learning

Develop decentralised architectures that preserve individual privacy while fostering collaborative model improvements across multiple nodes.

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Responsible AI Policy

Formulate governance standards and ethical principles that guide transparent and fair AI implementations in public and private sectors.

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Educational Transformation

Design data-informed interventions to elevate learner engagement, skill development, and equitable access to high-quality educational resources.

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Transforming Digital Futures

My scholarly frameworks and technical solutions empower researchers, practitioners, and policymakers to create open, adaptable, compliance-ready solutions without extensive coding requirements. By blending academic rigour with practical deployment, I help foster global impact and responsible progress in AI.

Federated and Collaborative Spaces

My interdisciplinary work demonstrates a sustained commitment to transparent, evidence-based practices that reshape AI ethics, learning sciences, and digital policy. Through collaborative research and peer-reviewed publications, these initiatives lay a robust foundation for the next generation of responsible AI.

“J’ai eu l’opportunite d’encadrer Roy Saurabh dans ses travaux doctoraux manes a Universite Paris Cite, ou ii a developpe des methodologies avancees de pretraitement des donnees et d’apprentissage automatique pour analyser les signaux issus des dispositifs portables dans le cadre de la surveillance de la sante mentale.

Son expertise en apprentissage federe, confidentialite des donnees et minimisation des risques lies a la conservation des informations sensibles a abouti a des solutions integrees qui ont des applications directes dans la gouvernance des donnees d’IA et les standards de conformite europeenne (EU Al Act, GDPR).”

François Taddei

Fondateur et le président du Learning Planet Institute

“I have known Roy Saurabh since 2018 when he was serving as the CTO at UNESCO’s Research Institute. Since that time, we collaborated on several initiatives related to AI governance and data privacy, particularly within the EDGE Skills project, where Headai provided AI-driven insights for labor market intelligence.

Roy has consistently demonstrated a deep technical expertise in federated AI architectures, explainable AI (XAI), and secure data governance. “

Harri Ketamo

Chairman, Headai

“Je connais Roy Saurabh depuis la phase de conception du projet AffectLog, lorsque, dans le cadre du projet Edge Skills du programme Digital Europe (2024-2026), nous avons collaboré sur la proposition d’une tâche (building block) traitant de l’évaluation des intelligences artificielles de confiance (Trustworthy AI Assessment). Sa vision et son engagement à bâtir un cadre de conformité et de sécurité robuste pour les systèmes d’IA se sont avérés essentiels pour l’interopérabilité et la souveraineté numérique au sein des écosystèmes de données européens.”

Azim Roussanaly

LORIA Lab, Université de Lorraine

Get in touch

Engage with pioneering research, ethical frameworks, and data-driven insights that inform the evolving landscape of digital transformation.

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Delve into in-depth articles, analyses, and discussions on breakthroughs in federated learning, affective computing, and responsible AI.

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Contact support

For collaboration inquiries or technical assistance, our dedicated team provides thorough, scholarly guidance for every stage of your research.

roy@affectlog.com

Recent Posts

The Silent Geometry of Trust: Symbolism in the AffectLog Logo

August 25, 2025

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Roy Saurabh

At first glance, a logo is a simple mark. But for AffectLog, our logo is not merely an emblem of a company — it is a mandala of meaning, an intentional design that encodes our deepest commitments to privacy, trust, and the human journey in a world governed by data.…
Compliance as Compassion

August 17, 2025

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Roy Saurabh

For many, “compliance” sounds cold: regulations, penalties, audits.For me, compliance became a mirror of love. I learned this not from books, but from life.From watching my wife’s medical data handled like scattered paperwork while her body carried a child.From begging for my own mental health records while corporations siphoned them…
When Data Became Personal

August 17, 2025

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Roy Saurabh

The birth of AffectLog did not begin in a lab.It began in a clinical diagnostic centre. My wife, carrying our daughter, was diagnosed with gestational diabetes. Numbers suddenly mattered in a way they never had before: glucose levels, heart rates, risk scores. Each value held the fragile thread of two…