Our Team - NutriSafe

Our Research Team

Our Core Expertise

Driving Innovation Through Multidisciplinary AI and Data Talent

We specialise in Data Engineering, Data Science, Machine Learning, and Data Visualisation. Our team designs and develops the core components of the Multi‑Risk Precision Nutrition AI (MRPN‑AI) system, including the nutrition ontology, dietary risk‑scoring models, multi‑risk conflict‑resolution engine, personalisation logic, explainability layers, and governance frameworks. In addition, we are extending this capability through the development of an Agentic AI orchestration layer, which enables intelligent coordination across these components to support adaptive reasoning, personalised recommendation generation, user-centred interaction, and explainable decision support for individuals living with multiple chronic conditions.

Safer Food Choices for Multiple Chronic Conditions

Harnessing the Collective Strength of Data, AI, and Domain Expertise to Build Adaptive, Personalised, and Trustworthy Systems

Team Composition

Transforming Complex Data into Intelligent, Explainable, and Human-Centred Solutions

• Data Engineers - prepare and structure raw nutrition and health-related data into clean, usable formats, ontologies, and model-ready features.

• Machine Learning Engineers - develop predictive, personalisation, and reasoning models with built-in safeguards for safety, fairness, and reliability.

• Machine Learning Engineers and Nutrition Academics - work together to design multi-condition dietary rules, handle overlapping health risks, and support scientifically grounded decision-making.

• Agentic AI Researchers and Developers - design and build the Agentic AI orchestration layer, which coordinates the different MRPN AI components to enable intelligent reasoning, adaptive user interaction, personalised recommendation generation, and explainable decision support.

• UX Designers - create elder-friendly, multilingual, and culturally relevant user experiences to ensure the system is practical and accessible.

• Volunteer Nutritionists and Clinicians - validate the scientific quality of recommendations and support evaluation throughout the research and testing process.

Leadership & Stakeholders

Aligning Leadership and Stakeholders to Drive Responsible and Impactful AI Innovation

• Project Sponsor — Dr Charith Silva: Provides the overall vision, strategic oversight, and leadership for the project, including direction in AI innovation, experimentation, and evaluation.

• Lead Academics — Prof. Bimali Indrathne & Ms. Chamodi Wickramasinghe: Guide the research methodology, ensure scientific rigour, and oversee academic quality and governance across the project.

• AI Research Team — 9 Data Scientists: Lead the technical development of the MRPN AI system, including data engineering, model development, experimentation, evaluation, and the design of intelligent components such as risk modelling, personalisation, explainability, and Agentic AI orchestration.

• Advisors — Volunteer Experts: Specialists in medicine, Ayurveda, nutrition, informatics, and public health who provide domain expertise, critical review, and validation support to strengthen the scientific and practical relevance of the research.