Ellie Kincaid is an editor at Retraction Watch. Her work has appeared in STAT, The Wall Street Journal, Forbes, WebMD and Medscape. She has a B.A. in English from Washington University in St. Louis and an M.A. in journalism from New York University’s Science, Health and Environmental Reporting Program.
Ellie Kincaid
Editor
Retraction Watch
From this contributor
Former Columbia University psychiatrist committed research misconduct, says federal watchdog
Bret Rutherford, whose research was halted following a suicide in a clinical trial, falsely reported participant eligibility, according to the U.S. Office of Research Integrity.
Former Columbia University psychiatrist committed research misconduct, says federal watchdog
By
Brendan Borrell, Ellie Kincaid
8 October 2024 | 3 min read
Head of company that accredits autism service providers resigns after article retraction
The resignation follows reporting by Spectrum and Retraction Watch in October about nonexistent references in the retracted article.
Head of company that accredits autism service providers resigns after article retraction
By
Ellie Kincaid
29 November 2023 | 4 min read
Article defending private-equity involvement in autism services retracted
Nearly two-thirds of the article’s references appear to not exist.
Article defending private-equity involvement in autism services retracted
By
Ellie Kincaid, Retraction Watch
19 October 2023 | 5 min read
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By
Jill Adams
18 August 2026 | 1 min read
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
By
Katie Moisse
18 August 2026 | 7 min read
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
By
Alex Williams
17 August 2026 | 7 min read