My book projects explore how technology, data, and AI reshape care, knowledge, and responsibility in real life—from neurorehabilitation and health systems to research cultures and academic writing.
They are unified by a common concern: keeping human judgment, agency, and accountability visible as innovation scales.
Neurorehabilitation and Health Technologies
Neurorehabilitation Technologies in Real Life: Keeping the Human in the Loop
Status: Proposal ready
Focus
This book examines neurorehabilitation technologies as they move from clinics and laboratories into everyday life. Across wearables, home-based rehabilitation, neurostimulation, game-based therapy, and AI-supported coaching, it asks how these tools actually shape recovery when effort, fatigue, motivation, and uneven support matter.
Audience
Patients, families, clinicians, designers, and researchers.
Technology for Health Impact: How Innovation Reshapes Prevention and Recovery
Status: Proposal ready
Focus
This book explores how health technologies—from digital therapeutics and monitoring systems to neurotechnology and AI-driven decision support—produce impact at the level of health systems and care infrastructures. It shifts attention from individual devices to system-level design choices around data, feedback, escalation, and responsibility, showing why some innovations lead to durable health outcomes while others do not.
Audience
Clinicians, researchers, designers, and health-system leaders.
Research Culture and Education
Becoming a Researcher in a Metrics-Driven World
Status: Proposal ready
Focus
This book examines how researchers are formed, evaluated, and governed through metrics, indicators, and performance frameworks. It focuses on how these systems shape academic identity, judgment, and risk-taking over time, particularly during doctoral training and early-career stages.
Audience
PhD candidates, early-career researchers, supervisors, and academic leaders.
Academic Writing in the Age of AI: Sources, Structure, Language, and Responsibility
Status: Proposal ready
Focus
This textbook teaches academic writing as a method in a context where fluent text can be produced instantly with generative AI. Instead of focusing on tools or prompts, it centres on argumentation, source use, traceability, and responsibility—showing how AI can support or undermine scholarly writing without changing what academic writing fundamentally is.
Audience
Undergraduate and Master’s-level students; instructors in Academic Writing and Research Skills.
Data, AI and Governance
Making Good Decisions with Data and AI: Trust, Responsibility, and Leadership in Organizations
Status: Proposal ready
Focus
This book examines how data-driven systems and AI tools reshape decision-making in organisations and public institutions. It shows how models, metrics, and automated recommendations redistribute judgment, authority, and responsibility, often in subtle ways that affect trust and leadership.
Audience
Managers, policymakers, professionals, and graduate students.
Rethinking Governance in the Age of Data: Knowledge, Responsibility, and Accountability in Health and Science
Status: Proposal ready
Focus
A conceptual analysis of how governance changes when data, metrics, and learning systems become infrastructures of authority. Using health and science as key cases, the book shows how evidence abundance and continuous evaluation can stabilise action while quietly eroding responsibility, legitimacy, and accountability.
Audience
Scholars and students of governance, public policy, political theory, and science studies.