Evgeny Galimov

Evgeny Galimov

Prinicipal Data Scientist

Phastar inc.

London, UK

ABOUT

Evgeny Galimov

Evgeny Galimov is passionate about harnessing artificial intelligence, real-world data, and advanced analytics to transform healthcare. Combining expertise in molecular biology, epidemiology, and machine learning, he develops innovative solutions that generate actionable insights, support personalized care, and enable better decisions across the healthcare ecosystem.

Speaker Sessions

Hyewon Nina Koo

From Questions to Evidence

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

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Posts by

Evgeny Galimov

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speaker Agenda

Speaker Sessions

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AI, Critical Thinking, and the Future of Scientific Leadership

Why AI’s transformative potential depends on courageous leaders

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AI in the Backseat

Leadership, Method, and Accountability in an Accelerating Era

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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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Main Day: Check-in & Networking

Time to ground, connect and a strong cup of coffee

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Research Forum: Check-in & Networking

Time to ground, conntect and a strong cup of coffee

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Collaborative Workshop & Research Agenda

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

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AI in Life Sciences: From Promise to Value Creation

Insightful perspectives relevant for many industries

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Leadership Dialogue: Evidence, Judgment, and AI in Research

Format: Curated dialogue + audience interaction

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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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Research, Data and Responsibility in the Age of AI

Opening Dialogue

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Dialogue to Direction: Shaping the CLAIR Research Agenda

A forward-looking pre-workshop dialogue

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Leadership Dialogue: Innovation, Accountability, and AI in Practice

Curated dialogue with audience interaction

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The AI-Native Organization

Cross-Functional Intelligence and Intent Engineering

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Not Everywhere, Not Always

The Conditional Impact of AI on Innovation Performance

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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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Leading Research into an AI-Defined Future

a cross-industry panel that turns insight into direction

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Beyond the Hype

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

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

An example from the Health Industry - relevant for everyone

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Official Opening Day 1

Warm welcome to the CLAIR Conference by Mats and Luciano

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Four Pillars for AI in Research-Intensive Work

A short scientific introduction

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From Questions to Evidence

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

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Competing on Direction

Vision as Competitive Advantage in the Age of AI

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