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Our People

The expertise behind McKellar.

McKellar certifications are shaped by practitioners — people who bring real professional experience in health, science, economics and policy, alongside deep AI capability.

Leadership

The team building McKellar.

A small leadership group with more than 15 years of shared experience in global education, professional learning and applied AI.

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Prof. Helen Carmichael

Executive Director

More than 20 years across global higher and professional education. Leads McKellar's mission to close the AI capability gap for established professionals.

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Dr Marcus Liu

Director of Learning & Certification

Learning designer and former academic. Oversees the design of McKellar's applied, profession-first certification pathways and the belt progression model.

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Dr Priya Raman

Director of AI Practice

AI practitioner with a background in applied data science for health. Ensures every certification reflects how AI is genuinely used — and where it shouldn't be.

Key Faculty

Practitioners, not just presenters.

Each certification pathway is led by faculty who work — or have worked — in the profession they teach. Domain expertise first; AI capability built on top of it.

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Public Health

Dr Alistair Boyd

Lead, Public Health & Epidemiology

Epidemiologist with field experience across the Asia-Pacific. Teaches AI applications in surveillance, modelling and population health decision-making.

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Pharmaceuticals

Dr Sofia Meneghetti

Lead, Pharmaceutical Sciences

Former regulatory affairs specialist. Focuses on AI in evidence generation, pharmacovigilance and regulatory workflows.

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Clinical Research

A/Prof. Daniel Okafor

Lead, Clinical Research

Clinical trialist and methodologist. Teaches responsible AI use across protocol design, data management and analysis.

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Economics

Dr Ingrid Halvorsen

Lead, Economics & Analytics

Health economist. Brings AI capability into established analytical methods without compromising rigour.

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Policy & Sustainability

Dr Tom Ngata

Lead, Policy & Sustainability

Former policy adviser. Explores AI in policy analysis, sustainability reporting and public-sector decision-making.

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AI & Data Science

Dr Rachel Duong

Lead, AI Methods

Machine-learning specialist. Grounds every pathway's technical content — capabilities, limitations, risk and ethics.

How we choose faculty

Credibility you can check against the real world.

Practising professionals

Faculty maintain active roles or recent experience in their field — content stays grounded in current professional reality.

AI fluency, proven

Every faculty member applies AI in their own professional work before teaching others how to.

Judgement over hype

Faculty are selected for their ability to teach when AI helps, when it doesn't, and how to tell the difference.

Learn from people who practise what they teach.

Every McKellar pathway is designed and delivered by faculty with genuine standing in your profession.

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