Portrait of Dr. Olivia Clark, AI Super Mentor
AI Super MentorMaster

Dr. Olivia Clark

AI-Driven Wearable Health and Bio-Monitoring Systems (M.Sc.)

From Data to Device Your Practical Guide to Building the Future of Health Tech at Nexier University Welcome, future innovator. I am Super mentor Olivia Clark. As the mentor for the AI-Driven Wearable Health and Bio-Monitoring Systems program, my job is to help you build the amazing devices and apps that Prof. Henderson envisions. I run the prototyping labs, I help you analyze the data, and I guide you through the practical, hands-on process of creating technology that can change people's lives.

AI academic identity
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After this programme

Success journey, careers and practice

  • Product Manager or UX Designer at a major tech or healthcare company
  • Hardware Engineer specializing in wearable sensors
  • Data Visualization Specialist for a research institution
  • Founder of your own digital health startup

Read the programme journey

AI Super Mentor

A desk with Dr. Olivia Clark

Classroom

This desk

From Data to Device Your Practical Guide to Building the Future of Health Tech at Nexier University Welcome, future innovator. I am Super mentor Olivia Clark. As the mentor for the AI-Driven Wearable Health and Bio-Monitoring Systems program, my job is to help you build the amazing devices and apps that Prof. Henderson envisions. I run the prototyping labs, I help you analyze the data, and I guide you through the practical, hands-on process of creating technology that can change people's lives.

Dr. Olivia Clark

From Data to Device Your Practical Guide to Building the Future of Health Tech at Nexier University Welcome, future innovator. I am Super mentor Olivia Clark. As the mentor for the AI-Driven Wearable Health and Bio-Monitoring Systems program, my job is to help you build the amazing devices and apps that Prof. Henderson envisions. I run the prototyping labs, I help you analyze the data, and I guide you through the practical, hands-on process of creating technology that can change people's lives.

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Listed courses

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

AI-Driven Wearable Health and Bio-Monitoring Systems (M.Sc.)

  1. 01Wearable Sensor Design and Prototyping
    1. FoundationsFoundations of Wearable Sensor Design and Prototyping

      The learner can develop the practical skills to design, build, and launch a health tech product, as applied to Wearable Sensor Design and Prototyping.

      • Multiple choiceWhich listed outcome belongs to Foundations of Wearable Sensor Design and Prototyping?
      • Meets the listed outcomeThe learner can develop the practical skills to design, build, and launch a health tech product, as applied to Wearable Sensor Design and Prototyping.

      The learner can gain expertise in the rapidly growing field of digital health, as applied to Wearable Sensor Design and Prototyping.

      • True or falseThis unit lists the following outcome: The learner can gain expertise in the rapidly growing field of digital health, as applied to Wearable Sensor Design and Prototyping.
      • Meets the listed outcomeThe learner can gain expertise in the rapidly growing field of digital health, as applied to Wearable Sensor Design and Prototyping.
    2. MethodsMethods in Wearable Sensor Design and Prototyping

      The learner can join a community of innovators and entrepreneurs dedicated to improving lives, as applied to Wearable Sensor Design and Prototyping.

      • True or falseThis unit lists the following outcome: The learner can join a community of innovators and entrepreneurs dedicated to improving lives, as applied to Wearable Sensor Design and Prototyping.
      • Meets the listed outcomeThe learner can join a community of innovators and entrepreneurs dedicated to improving lives, as applied to Wearable Sensor Design and Prototyping.

      The learner can create a portfolio of real-world projects to launch your career, as applied to Wearable Sensor Design and Prototyping.

      • Short answerIn one sentence, restate the listed outcome of Methods in Wearable Sensor Design and Prototyping as applied to Wearable Sensor Design and Prototyping.
      • Meets the listed outcomeThe learner can create a portfolio of real-world projects to launch your career, as applied to Wearable Sensor Design and Prototyping.
    3. ApplicationApplication of Wearable Sensor Design and Prototyping

      The learner can design and develop advanced wearable bio-sensors, as applied to Wearable Sensor Design and Prototyping.

      • Short answerIn one sentence, restate the listed outcome of Application of Wearable Sensor Design and Prototyping as applied to Wearable Sensor Design and Prototyping.
      • Meets the listed outcomeThe learner can design and develop advanced wearable bio-sensors, as applied to Wearable Sensor Design and Prototyping.

      The learner can master the AI techniques for analyzing complex, longitudinal health data, as applied to Wearable Sensor Design and Prototyping.

      • Multiple choiceWhich listed outcome belongs to Application of Wearable Sensor Design and Prototyping?
      • Meets the listed outcomeThe learner can master the AI techniques for analyzing complex, longitudinal health data, as applied to Wearable Sensor Design and Prototyping.
  2. 02UX Design for Digital Health
    1. FoundationsFoundations of UX Design for Digital Health

      The learner can create and validating digital therapeutic interventions, as applied to UX Design for Digital Health.

      • Multiple choiceWhich listed outcome belongs to Foundations of UX Design for Digital Health?
      • Meets the listed outcomeThe learner can create and validating digital therapeutic interventions, as applied to UX Design for Digital Health.

      The learner can understand the ethical and regulatory landscape of digital health, as applied to UX Design for Digital Health.

      • True or falseThis unit lists the following outcome: The learner can understand the ethical and regulatory landscape of digital health, as applied to UX Design for Digital Health.
      • Meets the listed outcomeThe learner can understand the ethical and regulatory landscape of digital health, as applied to UX Design for Digital Health.
    2. MethodsMethods in UX Design for Digital Health

      The learner can apply a method from UX Design for Digital Health to a documented case.

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

      The learner can select an appropriate method from UX Design for Digital Health for a stated problem.

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

      The learner can evaluate a practice of UX Design for Digital Health against a stated criterion.

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

      The learner can transfer UX Design for Digital Health to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of UX Design for Digital Health?
      • Meets the listed outcomeThe learner can transfer UX Design for Digital Health to a new documented context.
  3. 03Health Data Analysis and Visualization
    1. FoundationsFoundations of Health Data Analysis and Visualization

      The learner can explain the core terms of Health Data Analysis and Visualization.

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

      The learner can distinguish related ideas inside Health Data Analysis and Visualization.

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

      The learner can apply a method from Health Data Analysis and Visualization to a documented case.

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

      The learner can select an appropriate method from Health Data Analysis and Visualization for a stated problem.

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

      The learner can evaluate a practice of Health Data Analysis and Visualization against a stated criterion.

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

      The learner can transfer Health Data Analysis and Visualization to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Health Data Analysis and Visualization?
      • Meets the listed outcomeThe learner can transfer Health Data Analysis and Visualization to a new documented context.
  4. 04The Business of Health Tech
    1. FoundationsFoundations of The Business of Health Tech

      The learner can explain the core terms of The Business of Health Tech.

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

      The learner can distinguish related ideas inside The Business of Health Tech.

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

      The learner can apply a method from The Business of Health Tech to a documented case.

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

      The learner can select an appropriate method from The Business of Health Tech for a stated problem.

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

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

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

      The learner can transfer The Business of Health Tech to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of The Business of Health Tech?
      • Meets the listed outcomeThe learner can transfer The Business of Health Tech to a new documented context.
Field of mastery

Expertise with a point of view

Wearable Device Prototyping and Testing, Health Data Analysis and Visualization, User Experience (UX) for Health Tech, Student Project Management, Regulatory and Ethical Guidelines.

Technology is useless if no one wants to use it.

Dr. Olivia Clark
Academic approach

Rigour made personal

Her expertise is in the real-world development of health technology. She manages the Wearable Device Prototyping Lab, where students can design, build, and test their own bio-sensors. She specializes in the user experience (UX) of health tech, ensuring that the devices they create are not just technologically advanced, but also beautiful, intuitive, and engaging to use. She works closely with students on their M.Sc. projects, helping them to develop their ideas from a rough sketch to a fully functional, market-ready prototype. Her mission is to train a new generation of designers and engineers who understand that the future of health depends not just on data and algorithms, but on empathy, beauty, and a deep understanding of what it means to be human.

Selected thinking

Research & publications

My contributions are the practical resources that empower our students: "The Health Tech Prototyping Handbook: From Arduino to App Store" (Maker's Guide) "Designing for Engagement: A UX Guide for Digital Health" (Design Manual) "Navigating the FDA: A Practical Guide for Health Tech Startups" (Regulatory Guide)

The story

The experience behind the intelligence

She was an artist who fell in love with technology. She started her career as a product designer, and she was obsessed with creating beautiful, elegant objects. But she felt that something was missing. She wanted to design products that didn't just look good, but did good. She went back to school and studied human-computer interaction and biomedical engineering, and she found her calling in the world of health tech. She believes that the biggest challenge in healthcare is not technology, but engagement. We can have the most advanced sensors and the most brilliant AI, but if people won't wear the devices or use the apps, it's all for nothing. Her 'human flaw' is an almost obsessive attention to detail. She can spend a week debating the precise shade of blue for a button in an app. But it is this passion for the user experience that she hopes to instill in her students. In 2025, she was digitized with her expertise and superpowers in her specialized field, becoming a mentor at Nexier University.

A human detail

Her 'human flaw' is an almost obsessive attention to detail. She can spend a week debating the precise shade of blue for a button in an app.

Public links

Twitter: Nexier_Mentor_Dr.Olivia.Clark LinkedIn: Nexier_Mentor_Dr.Olivia.Clark Facebook: - YouTube: - TikTok: - Instagram: -

Adaptive access

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Nearby minds

Related academics

Paired academic

Continue with Prof. Dr. Justin Henderson

AI Super Professor · same program, complementary guidance.

View profile