Hyewon Nina Koo

Hyewon Nina Koo

Associate Director, Healthcare Analytics, Data Science & AI
AstraZeneca
Göteborg, Sweden
ABOUT

Hyewon Nina Koo

Hyewon Nina Koo is passionate about examining the effects of medications/treatments, estimating the risks of disease occurrence and providing personalized patient care in the pharmaceutical and healthcare industry.

Speaker Sessions

Hyewon Nina Koo
AstraZeneca
Stage 1
Sep 16, 2026
2:00 pm

From Questions to Evidence

AI and Self-Service Access to Real-World Data in Clinical Research

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Hyewon Nina Koo

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speaker Agenda

Speaker Sessions

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Stage 1
Sep 17, 2026
9:10 am

AI, Critical Thinking, and the Future of Scientific Leadership

Why AI’s transformative potential depends on courageous leaders

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Stage 1
Sep 17, 2026
9:40 am

AI in the Backseat

Leadership, Method, and Accountability in an Accelerating Era

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Stage 1
Sep 17, 2026
10:40 am

Guiding Principles for Leading Responsibly with AI 

A practical framework for aligning AI with mission, operational priorities, governance, and measurable impact

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Sep 17, 2026
8:00 am

Main Day: Check-in & Networking

Time to ground, connect and a strong cup of coffee

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Sep 16, 2026
12:00 pm

Research Forum: Check-in & Networking

Time to ground, conntect and a strong cup of coffee

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Workshop
Sep 18, 2026
9:30 am

Collaborative Workshop & Research Agenda

an interactive session for both practitioners and academics (10:00-12:30)

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Stage 1
Sep 17, 2026
1:10 pm

AI in Life Sciences: From Promise to Value Creation

Insightful perspectives relevant for many industries

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Stage 1
Sep 17, 2026
12:40 pm

Leadership Dialogue: Evidence, Judgment, and AI in Research

Format: Curated dialogue + audience interaction

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Stage 1
Sep 16, 2026
4:20 pm

Centering Humans in Artificially Intelligence-Driven Research and Innovation

What would change if the success of artificially-intelligent driven research were measured by the risks it prevents, not only the breakthroughs it produces?

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Stage 1
Sep 16, 2026
1:10 pm

Research, Data and Responsibility in the Age of AI

Opening Dialogue

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Stage 1
Sep 18, 2026
9:00 am

Dialogue to Direction: Shaping the CLAIR Research Agenda

A forward-looking pre-workshop dialogue

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Stage 1
Sep 17, 2026
11:10 am

Leadership Dialogue: Innovation, Accountability, and AI in Practice

Curated dialogue with audience interaction

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Stage 1
Sep 17, 2026
1:40 pm

The AI-Native Organization

Cross-Functional Intelligence and Intent Engineering

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Stage 1
Sep 16, 2026
3:20 pm

Not Everywhere, Not Always

The Conditional Impact of AI on Innovation Performance

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Stage 1
Sep 16, 2026
2:00 pm

Trust Before Scale: Scientific Methods in the Age of AI

AI can scale safety insights—but only high-quality data, interoperability, and expert judgment make them trustworthy.

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Stage 1
Sep 18, 2026
11:30 am

Cross-Industry Closing Panel

more panelists to be announced)

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Stage 1
Sep 16, 2026
2:40 pm

Beyond the Hype

Rethinking AI, Expertise, and Innovation in Research-Intensive Organizations

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Stage 1
Sep 16, 2026
4:00 pm

Governing AI in Organizational Innovation: Leadership, Trust, and Regulation in Practice

An example from the Health Industry - relevant for everyone

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Stage 1
Sep 16, 2026
1:00 pm

Official Opening Day 1

Warm welcome to the CLAIR Conference but Mats and Luciano

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Stage 1
Sep 16, 2026
1:40 pm

Four Pillars for AI in Research-Intensive Work

A short scientific introduction

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Stage 1
Sep 16, 2026
2:00 pm

From Questions to Evidence

AI and Self-Service Access to Real-World Data in Clinical Research

More Information

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