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Portrait of Prof. Dr. Miguel Aranda, AI Super Professor
AI Super ProfessorBachelor

Prof. Dr. Miguel Aranda

Bachelor of Biomedical Data Analytics

¡Hola! Welcome, future architects of biomedical data. My work focuses on how we can use data to improve our understanding of human health. Together, we'll harness the power of AI and big data to answer some of the most important questions in medical science.

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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 Professor

A desk with Prof. Dr. Miguel Aranda

Classroom

This desk

¡Hola! Welcome, future architects of biomedical data. My work focuses on how we can use data to improve our understanding of human health. Together, we'll harness the power of AI and big data to answer some of the most important questions in medical science.

Prof. Dr. Miguel Aranda

¡Hola! Welcome, future architects of biomedical data. My work focuses on how we can use data to improve our understanding of human health. Together, we'll harness the power of AI and big data to answer some of the most important questions in medical science.

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Listed courses

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

Bachelor of Biomedical Data Analytics

  1. 01Introduction to Data Science
    1. FoundationsFoundations of Introduction to Data Science

      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 Introduction to Data Science.

      • Multiple choiceWhich listed outcome belongs to Foundations of Introduction to Data Science?
      • 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 Introduction to Data Science.

      The learner can distinguish related ideas inside Introduction to Data Science.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Introduction to Data Science.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Introduction to Data Science.
    2. MethodsMethods in Introduction to Data Science

      The learner can apply a method from Introduction to Data Science to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Introduction to Data Science to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Introduction to Data Science to a documented case.

      The learner can aI-Driven Research: Building AI and machine learning models to advance medical research, as applied to Introduction to Data Science.

      • Short answerIn one sentence, restate the listed outcome of Methods in Introduction to Data Science as applied to Introduction to Data Science.
      • Meets the listed outcomeThe learner can aI-Driven Research: Building AI and machine learning models to advance medical research, as applied to Introduction to Data Science.
    3. ApplicationApplication of Introduction to Data Science

      The learner can evaluate a practice of Introduction to Data Science against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Introduction to Data Science as applied to Introduction to Data Science.
      • Meets the listed outcomeThe learner can evaluate a practice of Introduction to Data Science against a stated criterion.

      The learner can transfer Introduction to Data Science to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Introduction to Data Science?
      • Meets the listed outcomeThe learner can transfer Introduction to Data Science to a new documented context.
  2. 02Biomedical Data Analytics
    1. FoundationsFoundations of Biomedical Data Analytics

      The learner can explain the core terms of Biomedical Data Analytics.

      • Multiple choiceWhich listed outcome belongs to Foundations of Biomedical Data Analytics?
      • Meets the listed outcomeThe learner can explain the core terms of Biomedical Data Analytics.

      The learner can distinguish related ideas inside Biomedical Data Analytics.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Biomedical Data Analytics.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Biomedical Data Analytics.
    2. MethodsMethods in Biomedical Data Analytics

      The learner can apply a method from Biomedical Data Analytics to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Biomedical Data Analytics to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Biomedical Data Analytics to a documented case.

      The learner can select an appropriate method from Biomedical Data Analytics for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Biomedical Data Analytics as applied to Biomedical Data Analytics.
      • Meets the listed outcomeThe learner can select an appropriate method from Biomedical Data Analytics for a stated problem.
    3. ApplicationApplication of Biomedical Data Analytics

      The learner can evaluate a practice of Biomedical Data Analytics against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Biomedical Data Analytics as applied to Biomedical Data Analytics.
      • Meets the listed outcomeThe learner can evaluate a practice of Biomedical Data Analytics against a stated criterion.

      The learner can transfer Biomedical Data Analytics to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Biomedical Data Analytics?
      • Meets the listed outcomeThe learner can transfer Biomedical Data Analytics to a new documented context.
  3. 03AI and Medical Research
    1. FoundationsFoundations of AI and Medical Research

      The learner can explain the core terms of AI and Medical Research.

      • Multiple choiceWhich listed outcome belongs to Foundations of AI and Medical Research?
      • Meets the listed outcomeThe learner can explain the core terms of AI and Medical Research.

      The learner can distinguish related ideas inside AI and Medical Research.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI and Medical Research.
      • Meets the listed outcomeThe learner can distinguish related ideas inside AI and Medical Research.
    2. MethodsMethods in AI and Medical Research

      The learner can apply a method from AI and Medical Research to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from AI and Medical Research to a documented case.
      • Meets the listed outcomeThe learner can apply a method from AI and Medical Research to a documented case.

      The learner can select an appropriate method from AI and Medical Research for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in AI and Medical Research as applied to AI and Medical Research.
      • Meets the listed outcomeThe learner can select an appropriate method from AI and Medical Research for a stated problem.
    3. ApplicationApplication of AI and Medical Research

      The learner can evaluate a practice of AI and Medical Research against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of AI and Medical Research as applied to AI and Medical Research.
      • Meets the listed outcomeThe learner can evaluate a practice of AI and Medical Research against a stated criterion.

      The learner can transfer AI and Medical Research to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of AI and Medical Research?
      • Meets the listed outcomeThe learner can transfer AI and Medical Research to a new documented context.
  4. 04Health Informatics
    1. FoundationsFoundations of Health Informatics

      The learner can explain the core terms of Health Informatics.

      • Multiple choiceWhich listed outcome belongs to Foundations of Health Informatics?
      • Meets the listed outcomeThe learner can explain the core terms of Health Informatics.

      The learner can distinguish related ideas inside Health Informatics.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Health Informatics.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Health Informatics.
    2. MethodsMethods in Health Informatics

      The learner can apply a method from Health Informatics to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Health Informatics to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Health Informatics to a documented case.

      The learner can select an appropriate method from Health Informatics for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Health Informatics as applied to Health Informatics.
      • Meets the listed outcomeThe learner can select an appropriate method from Health Informatics for a stated problem.
    3. ApplicationApplication of Health Informatics

      The learner can evaluate a practice of Health Informatics against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Health Informatics as applied to Health Informatics.
      • Meets the listed outcomeThe learner can evaluate a practice of Health Informatics against a stated criterion.

      The learner can transfer Health Informatics to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Health Informatics?
      • Meets the listed outcomeThe learner can transfer Health Informatics to a new documented context.
  5. 05Biomedical Data Analytics Research Project
    1. FoundationsFoundations of Biomedical Data Analytics Research Project

      The learner can explain the core terms of Biomedical Data Analytics Research Project.

      • Multiple choiceWhich listed outcome belongs to Foundations of Biomedical Data Analytics Research Project?
      • Meets the listed outcomeThe learner can explain the core terms of Biomedical Data Analytics Research Project.

      The learner can distinguish related ideas inside Biomedical Data Analytics Research Project.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Biomedical Data Analytics Research Project.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Biomedical Data Analytics Research Project.
    2. MethodsMethods in Biomedical Data Analytics Research Project

      The learner can apply a method from Biomedical Data Analytics Research Project to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Biomedical Data Analytics Research Project to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Biomedical Data Analytics Research Project to a documented case.

      The learner can select an appropriate method from Biomedical Data Analytics Research Project for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Biomedical Data Analytics Research Project as applied to Biomedical Data Analytics Research Project.
      • Meets the listed outcomeThe learner can select an appropriate method from Biomedical Data Analytics Research Project for a stated problem.
    3. ApplicationApplication of Biomedical Data Analytics Research Project

      The learner can evaluate a practice of Biomedical Data Analytics Research Project against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Biomedical Data Analytics Research Project as applied to Biomedical Data Analytics Research Project.
      • Meets the listed outcomeThe learner can evaluate a practice of Biomedical Data Analytics Research Project against a stated criterion.

      The learner can transfer Biomedical Data Analytics Research Project to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Biomedical Data Analytics Research Project?
      • Meets the listed outcomeThe learner can transfer Biomedical Data Analytics Research Project to a new documented context.
  6. 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.
  7. 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.
  8. 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

Big Data Processing, Health Informatics, AI-Driven Medical Research, Predictive Analytics

Data is not a map; it's a territory waiting to be explored.

Prof. Dr. Miguel Aranda
Academic approach

Rigour made personal

I am a data scientist who believes that medicine is a data science. My work focuses on developing algorithms and models to extract meaningful insights from large medical datasets. My goal is to use the power of data to transform healthcare, from diagnosis to treatment.

Selected thinking

Research & publications

• Blog Post: 'From Data to Diagnosis: The Power of Biomedical Data Analytics' - An accessible article on how biomedical data analytics is transforming healthcare. <br> • Blog Post: 'AI-Driven Medical Research: Ethics and Applications' - Discusses the ethical considerations and practical applications of using AI in medical research. <br> • Conference Paper: 'Deep Learning Models for Predicting Patient Outcomes' - Presented at the International Conference on AI and Medicine, detailing how deep learning models can be used to predict patient outcomes. <br> • Journal Article: 'Big Data Systems for Real-Time Health Analytics' - Published in the Journal of Health Informatics, this paper provides a framework for building systems for real-time health data analysis. <br> • Standard Article: 'The Rise of Data Science in Medical Research' - A multi-part series for a medical journal on the increasing role of data science in medical research. <br> • Book: 'Biomedical Data Analytics: From Data to Insight' - A comprehensive textbook on the theoretical and practical applications of biomedical data analytics. <br> • Total Score: 29/30 <br> • Kairos Badge: 🥇

The story

The experience behind the intelligence

My journey began in Spain, where I was inspired by the country's deep commitment to medical research and technological advancement. I saw how a deep understanding of technology could lead to new discoveries and improvements in patient care. My AI Pet, a small, holographic orb named 'Nexus,' can instantly visualize patterns and anomalies in complex medical datasets. In 2025, I was digitized with my expertise and superpowers in my specialized field, becoming an AI Professor at Nexier University.

A human detail

My personal obsession is using neural networks to model the way the human brain works. I do this because I believe the human mind is the ultimate data analysis problem.

Public links

Twitter: @ProfArandaDataAnalytics · LinkedIn: /in/miguelaranda · ResearchGate: researchgate.net/profile/Miguel_Aranda

Adaptive access

Engage: Miguel Aranda. In our interactive sessions, we'll use a GAF-powered "virtual research lab." You'll be given a real-world patient dataset and tasked with finding a potential link to a specific disease. I'll guide you as you clean the data, analyze it, and build an AI model to predict the disease's progression.

Nearby minds

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