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Ziad ObermeyerPortrait via Wikimedia Commons

No. 60 Researchers & academics

Ziad Obermeyer

Associate Professor, University of California BerkeleyUnited States

An emergency physician researching algorithmic bias and machine learning applications in clinical decision making.

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The Signal

His landmark research identifying bias in clinical algorithms changed how developers design health systems. He offers essential methodology to evaluate health software fairly and safely.

Who Ziad Obermeyer is

An emergency physician researching algorithmic bias and machine learning applications in clinical decision making.

His landmark research identifying bias in clinical algorithms changed how developers design health systems. He offers essential methodology to evaluate health software fairly and safely.

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At a glance

Role
Associate Professor
Organisation
University of California Berkeley
Platforms
X, LinkedIn
Based in
United States, North America
Influence Score 86.5editorial estimate, see how it is built
Reach (25% weight)80

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

Engagement (20% weight)85

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

Credibility (25% weight)96

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)92

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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