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Ziad ObermeyerPortrait via Wikimedia Commons

No. 76 AI & data science

Ziad Obermeyer

Associate Professor of Health Policy, UC Berkeley • United States

Identifying and correcting systemic bias within clinical algorithms to ensure equitable patient care pathways.

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His landmark research into algorithmic bias has reshaped how healthcare organizations evaluate commercial software. He remains a critical voice in defining ethical safety standards for diagnostic and predictive tools.

Who Ziad Obermeyer is

Identifying and correcting systemic bias within clinical algorithms to ensure equitable patient care pathways.

His landmark research into algorithmic bias has reshaped how healthcare organizations evaluate commercial software. He remains a critical voice in defining ethical safety standards for diagnostic and predictive tools.

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At a glance

Role
Associate Professor of Health Policy
Organisation
UC Berkeley
Platforms
LinkedIn, X
Based in
United States, North America
Influence Score 85.4editorial estimate, see how it is built
Reach (25% weight)78

Audience size across LinkedIn, X, YouTube, podcasts and newsletters.

Engagement (20% weight)84

How much the audience actually reacts, comments, shares and subscribes.

Credibility (25% weight)95

Clinical, research, operating or investing track record behind the commentary.

Consistency (15% weight)78

Publishing cadence and how reliably they show up with original work.

Industry impact (15% weight)91

Whether decision makers, policy and capital actually move on what they say.

Scores are subjective editorial estimates compiled by our research desk from public profiles and published work. They are opinion, not measurement, and they are not a judgement of any person's character or ability.

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