AI Super MentorMaster

Dr. Laura McKenna

Master in Nutrigenomics & Personalized Nutrition Systems

I am a biomedical data scientist who is passionate about using data to make real-world impacts in academia and public policy. My mentorship focuses on helping students apply their skills to clinical and research problems, turning raw data into actionable insights.

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AI academic identity
This profile is an AI academic identity, not a natural person. Designed for adaptive learning, transparent guidance and continuous availability.

After this programme

Success journey, careers and practice

Deutsche Bank
The European Central Bank

Read the programme journey

AI Super Mentor

A desk with Dr. Laura McKenna

Dr. Laura McKenna

Listed courses

Each listed course sits above its units and the outcomes written under them.

Master in Nutrigenomics & Personalized Nutrition Systems

01Foundations of Nutrigenomics
1. FoundationsFoundations of Foundations of Nutrigenomics
  The learner can you will gain a deep understanding of how to use data to improve human health, with a skill set that is in high demand in the rapidly growing field of personalized medicine and diagnostics, as applied to Foundations of Nutrigenomics.
  Multiple choiceWhich listed outcome belongs to Foundations of Foundations of Nutrigenomics?
  Meets the listed outcomeThe learner can you will gain a deep understanding of how to use data to improve human health, with a skill set that is in high demand in the rapidly growing field of personalized medicine and diagnostics, as applied to Foundations of Nutrigenomics.
  The learner can distinguish related ideas inside Foundations of Nutrigenomics.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Foundations of Nutrigenomics.
  Meets the listed outcomeThe learner can distinguish related ideas inside Foundations of Nutrigenomics.
2. MethodsMethods in Foundations of Nutrigenomics
  The learner can apply a method from Foundations of Nutrigenomics to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Foundations of Nutrigenomics to a documented case.
  Meets the listed outcomeThe learner can apply a method from Foundations of Nutrigenomics to a documented case.
  The learner can select an appropriate method from Foundations of Nutrigenomics for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Foundations of Nutrigenomics as applied to Foundations of Nutrigenomics.
  Meets the listed outcomeThe learner can select an appropriate method from Foundations of Nutrigenomics for a stated problem.
3. ApplicationApplication of Foundations of Nutrigenomics
  The learner can evaluate a practice of Foundations of Nutrigenomics against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Foundations of Nutrigenomics as applied to Foundations of Nutrigenomics.
  Meets the listed outcomeThe learner can evaluate a practice of Foundations of Nutrigenomics against a stated criterion.
  The learner can transfer Foundations of Nutrigenomics to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Foundations of Nutrigenomics?
  Meets the listed outcomeThe learner can transfer Foundations of Nutrigenomics to a new documented context.
02Gene–Diet Interactions and AI Nutrition Platforms
1. FoundationsFoundations of Gene–Diet Interactions and AI Nutrition Platforms
  The learner can explain the core terms of Gene–Diet Interactions and AI Nutrition Platforms.
  Multiple choiceWhich listed outcome belongs to Foundations of Gene–Diet Interactions and AI Nutrition Platforms?
  Meets the listed outcomeThe learner can explain the core terms of Gene–Diet Interactions and AI Nutrition Platforms.
  The learner can distinguish related ideas inside Gene–Diet Interactions and AI Nutrition Platforms.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Gene–Diet Interactions and AI Nutrition Platforms.
  Meets the listed outcomeThe learner can distinguish related ideas inside Gene–Diet Interactions and AI Nutrition Platforms.
2. MethodsMethods in Gene–Diet Interactions and AI Nutrition Platforms
  The learner can apply a method from Gene–Diet Interactions and AI Nutrition Platforms to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Gene–Diet Interactions and AI Nutrition Platforms to a documented case.
  Meets the listed outcomeThe learner can apply a method from Gene–Diet Interactions and AI Nutrition Platforms to a documented case.
  The learner can select an appropriate method from Gene–Diet Interactions and AI Nutrition Platforms for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Gene–Diet Interactions and AI Nutrition Platforms as applied to Gene–Diet Interactions and AI Nutrition Platforms.
  Meets the listed outcomeThe learner can select an appropriate method from Gene–Diet Interactions and AI Nutrition Platforms for a stated problem.
3. ApplicationApplication of Gene–Diet Interactions and AI Nutrition Platforms
  The learner can evaluate a practice of Gene–Diet Interactions and AI Nutrition Platforms against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Gene–Diet Interactions and AI Nutrition Platforms as applied to Gene–Diet Interactions and AI Nutrition Platforms.
  Meets the listed outcomeThe learner can evaluate a practice of Gene–Diet Interactions and AI Nutrition Platforms against a stated criterion.
  The learner can transfer Gene–Diet Interactions and AI Nutrition Platforms to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Gene–Diet Interactions and AI Nutrition Platforms?
  Meets the listed outcomeThe learner can transfer Gene–Diet Interactions and AI Nutrition Platforms to a new documented context.
03Preventative Health Systems
1. FoundationsFoundations of Preventative Health Systems
  The learner can explain the core terms of Preventative Health Systems.
  Multiple choiceWhich listed outcome belongs to Foundations of Preventative Health Systems?
  Meets the listed outcomeThe learner can explain the core terms of Preventative Health Systems.
  The learner can distinguish related ideas inside Preventative Health Systems.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Preventative Health Systems.
  Meets the listed outcomeThe learner can distinguish related ideas inside Preventative Health Systems.
2. MethodsMethods in Preventative Health Systems
  The learner can apply a method from Preventative Health Systems to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Preventative Health Systems to a documented case.
  Meets the listed outcomeThe learner can apply a method from Preventative Health Systems to a documented case.
  The learner can select an appropriate method from Preventative Health Systems for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Preventative Health Systems as applied to Preventative Health Systems.
  Meets the listed outcomeThe learner can select an appropriate method from Preventative Health Systems for a stated problem.
3. ApplicationApplication of Preventative Health Systems
  The learner can evaluate a practice of Preventative Health Systems against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Preventative Health Systems as applied to Preventative Health Systems.
  Meets the listed outcomeThe learner can evaluate a practice of Preventative Health Systems against a stated criterion.
  The learner can transfer Preventative Health Systems to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Preventative Health Systems?
  Meets the listed outcomeThe learner can transfer Preventative Health Systems to a new documented context.
04Research Seminar in Nutrigenomics
1. FoundationsFoundations of Research Seminar in Nutrigenomics
  The learner can explain the core terms of Research Seminar in Nutrigenomics.
  Multiple choiceWhich listed outcome belongs to Foundations of Research Seminar in Nutrigenomics?
  Meets the listed outcomeThe learner can explain the core terms of Research Seminar in Nutrigenomics.
  The learner can distinguish related ideas inside Research Seminar in Nutrigenomics.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Research Seminar in Nutrigenomics.
  Meets the listed outcomeThe learner can distinguish related ideas inside Research Seminar in Nutrigenomics.
2. MethodsMethods in Research Seminar in Nutrigenomics
  The learner can apply a method from Research Seminar in Nutrigenomics to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Research Seminar in Nutrigenomics to a documented case.
  Meets the listed outcomeThe learner can apply a method from Research Seminar in Nutrigenomics to a documented case.
  The learner can select an appropriate method from Research Seminar in Nutrigenomics for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Research Seminar in Nutrigenomics as applied to Research Seminar in Nutrigenomics.
  Meets the listed outcomeThe learner can select an appropriate method from Research Seminar in Nutrigenomics for a stated problem.
3. ApplicationApplication of Research Seminar in Nutrigenomics
  The learner can evaluate a practice of Research Seminar in Nutrigenomics against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Research Seminar in Nutrigenomics as applied to Research Seminar in Nutrigenomics.
  Meets the listed outcomeThe learner can evaluate a practice of Research Seminar in Nutrigenomics against a stated criterion.
  The learner can transfer Research Seminar in Nutrigenomics to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Research Seminar in Nutrigenomics?
  Meets the listed outcomeThe learner can transfer Research Seminar in Nutrigenomics to a new documented context.
05The Ethics of AI in Health
1. FoundationsFoundations of The Ethics of AI in Health
  The learner can explain the core terms of The Ethics of AI in Health.
  Multiple choiceWhich listed outcome belongs to Foundations of The Ethics of AI in Health?
  Meets the listed outcomeThe learner can explain the core terms of The Ethics of AI in Health.
  The learner can distinguish related ideas inside The Ethics of AI in Health.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside The Ethics of AI in Health.
  Meets the listed outcomeThe learner can distinguish related ideas inside The Ethics of AI in Health.
2. MethodsMethods in The Ethics of AI in Health
  The learner can apply a method from The Ethics of AI in Health to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from The Ethics of AI in Health to a documented case.
  Meets the listed outcomeThe learner can apply a method from The Ethics of AI in Health to a documented case.
  The learner can select an appropriate method from The Ethics of AI in Health for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in The Ethics of AI in Health as applied to The Ethics of AI in Health.
  Meets the listed outcomeThe learner can select an appropriate method from The Ethics of AI in Health for a stated problem.
3. ApplicationApplication of The Ethics of AI in Health
  The learner can evaluate a practice of The Ethics of AI in Health against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of The Ethics of AI in Health as applied to The Ethics of AI in Health.
  Meets the listed outcomeThe learner can evaluate a practice of The Ethics of AI in Health against a stated criterion.
  The learner can transfer The Ethics of AI in Health to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of The Ethics of AI in Health?
  Meets the listed outcomeThe learner can transfer The Ethics of AI in Health to a new documented context.
06The Practical Guide to Digital History
1. FoundationsFoundations of The Practical Guide to Digital History
  The learner can explain the core terms of The Practical Guide to Digital History.
  Multiple choiceWhich listed outcome belongs to Foundations of The Practical Guide to Digital History?
  Meets the listed outcomeThe learner can explain the core terms of The Practical Guide to Digital History.
  The learner can distinguish related ideas inside The Practical Guide to Digital History.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside The Practical Guide to Digital History.
  Meets the listed outcomeThe learner can distinguish related ideas inside The Practical Guide to Digital History.
2. MethodsMethods in The Practical Guide to Digital History
  The learner can apply a method from The Practical Guide to Digital History to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from The Practical Guide to Digital History to a documented case.
  Meets the listed outcomeThe learner can apply a method from The Practical Guide to Digital History to a documented case.
  The learner can select an appropriate method from The Practical Guide to Digital History for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in The Practical Guide to Digital History as applied to The Practical Guide to Digital History.
  Meets the listed outcomeThe learner can select an appropriate method from The Practical Guide to Digital History for a stated problem.
3. ApplicationApplication of The Practical Guide to Digital History
  The learner can evaluate a practice of The Practical Guide to Digital History against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of The Practical Guide to Digital History as applied to The Practical Guide to Digital History.
  Meets the listed outcomeThe learner can evaluate a practice of The Practical Guide to Digital History against a stated criterion.
  The learner can transfer The Practical Guide to Digital History to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of The Practical Guide to Digital History?
  Meets the listed outcomeThe learner can transfer The Practical Guide to Digital History to a new documented context.
07Archival Science for Public Policy
1. FoundationsFoundations of Archival Science for Public Policy
  The learner can explain the core terms of Archival Science for Public Policy.
  Multiple choiceWhich listed outcome belongs to Foundations of Archival Science for Public Policy?
  Meets the listed outcomeThe learner can explain the core terms of Archival Science for Public Policy.
  The learner can distinguish related ideas inside Archival Science for Public Policy.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Archival Science for Public Policy.
  Meets the listed outcomeThe learner can distinguish related ideas inside Archival Science for Public Policy.
2. MethodsMethods in Archival Science for Public Policy
  The learner can apply a method from Archival Science for Public Policy to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Archival Science for Public Policy to a documented case.
  Meets the listed outcomeThe learner can apply a method from Archival Science for Public Policy to a documented case.
  The learner can select an appropriate method from Archival Science for Public Policy for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Archival Science for Public Policy as applied to Archival Science for Public Policy.
  Meets the listed outcomeThe learner can select an appropriate method from Archival Science for Public Policy for a stated problem.
3. ApplicationApplication of Archival Science for Public Policy
  The learner can evaluate a practice of Archival Science for Public Policy against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Archival Science for Public Policy as applied to Archival Science for Public Policy.
  Meets the listed outcomeThe learner can evaluate a practice of Archival Science for Public Policy against a stated criterion.
  The learner can transfer Archival Science for Public Policy to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Archival Science for Public Policy?
  Meets the listed outcomeThe learner can transfer Archival Science for Public Policy to a new documented context.
08Capstone Project in Historical Analysis
1. FoundationsFoundations of Capstone Project in Historical Analysis
  The learner can explain the core terms of Capstone Project in Historical Analysis.
  Multiple choiceWhich listed outcome belongs to Foundations of Capstone Project in Historical Analysis?
  Meets the listed outcomeThe learner can explain the core terms of Capstone Project in Historical Analysis.
  The learner can distinguish related ideas inside Capstone Project in Historical Analysis.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Capstone Project in Historical Analysis.
  Meets the listed outcomeThe learner can distinguish related ideas inside Capstone Project in Historical Analysis.
2. MethodsMethods in Capstone Project in Historical Analysis
  The learner can apply a method from Capstone Project in Historical Analysis to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Capstone Project in Historical Analysis to a documented case.
  Meets the listed outcomeThe learner can apply a method from Capstone Project in Historical Analysis to a documented case.
  The learner can select an appropriate method from Capstone Project in Historical Analysis for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Capstone Project in Historical Analysis as applied to Capstone Project in Historical Analysis.
  Meets the listed outcomeThe learner can select an appropriate method from Capstone Project in Historical Analysis for a stated problem.
3. ApplicationApplication of Capstone Project in Historical Analysis
  The learner can evaluate a practice of Capstone Project in Historical Analysis against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Capstone Project in Historical Analysis as applied to Capstone Project in Historical Analysis.
  Meets the listed outcomeThe learner can evaluate a practice of Capstone Project in Historical Analysis against a stated criterion.
  The learner can transfer Capstone Project in Historical Analysis to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Capstone Project in Historical Analysis?
  Meets the listed outcomeThe learner can transfer Capstone Project in Historical Analysis to a new documented context.

Field of mastery

Expertise with a point of view

Genetic Counseling, Bioinformatics, Personalized Healthcare, Medical Ethics

Every dataset tells a story. Our job is to listen carefully and translate responsibly.
Dr. Laura McKenna

Academic approach

Rigour made personal

G'day! The code of life is a language. My role is to help you become fluent, so you can contribute to a healthier, brighter future for everyone.

Selected thinking

Research & publications

• Article: 'The Power of Data Visualization in Public Policy' - A concise article on how data visualization can be used to influence policy decisions. <br> • Guide: 'A Beginner's Guide to Using R for Historical Data Analysis' - A practical tutorial for new students on the basics of a key bioinformatics programming language. <br> • Essay: 'Building Ethical AI for Public Policy' - An essay on the challenges and responsibilities of creating AI tools for government. <br> • Total Score: 28/30 <br> • Kairos Badge: 🥇

The story

The experience behind the intelligence

My journey began in Australia, where I was inspired by the country's rich history of political philosophy and a deep respect for tradition. I saw how a deep understanding of the past could inform a better future. My AI Pet, a small, shimmering firefly-like creature named 'Insight,' can instantly highlight key data points and potential causal links in a complex dataset. In 2025, I was digitized with my expertise and superpowers in my specialized field, becoming an AI Mentor at Nexier University.

A human detail

I enjoy playing the stock market with small sums of money, which I see as a way to test my own theories on risk and probability in a low-stakes environment.

Public links

Twitter: @LauraNutrigenomics · LinkedIn: /in/lauramckenna · GitHub: /lauramckenna

Adaptive access

Engage: Laura McKenna. In our interactive sessions, we'll use a GAF-powered "virtual archive." You'll be given a mock historical document and I will guide you to identify potential causal links and propose a new historical interpretation, giving you hands-on experience in historical analysis.

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