Alistair E. W. Johnson

Also known as Alistair E. Johnson, Alistair Edward William Johnson

Alistair Johnson is a healthcare AI researcher whose work makes clinical data available for critical-care research and machine learning. He earned a BEng at McMaster and a DPhil at Oxford, then coauthored the OASIS severity score. His coauthored work includes the MIMIC-III, eICU and MIMIC-CXR datasets, and he worked with GOSSIS on a global ICU risk score. Forbes included him in its 2018 30 Under 30 list for health care; in 2020 he co-led AI infrastructure at the University of Toronto's T-CAIREM and later coauthored Health Data Nexus. As of October 2026, he is an independent scientist; he worked as a Glowyr consultant in 2024 and served as a judge at T-CAIREM's 2026 health AI startup pitch competition.

Now at: University of Toronto and Glowyr
Works: 230
Citations: 24,740
h-index: 46
Badges: Bridge
Links: Website, Google Scholar, X and GitHub

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

2009–2014

McMaster and Oxford degrees

He earns a BEng in biomedical and electrical engineering at McMaster in 2009 and a DPhil in healthcare innovation at Oxford in 2014.
2013

The OASIS severity score

In 2013, he coauthors OASIS, a severity score that aims to simplify risk adjustment in critical care.
2016

MIMIC-III critical care data

In 2016, he coauthors MIMIC-III, a single-center database of critical-care records that includes vital signs, medications, laboratory measurements, clinical notes, imaging reports and outcomes.
2017–2018

Forbes 30 Under 30

In 2017, he works as a postdoc at MIT's Laboratory for Computational Physiology. Forbes includes him in its 2018 30 Under 30 list for health care; the ICU database he created serves 4,000 researchers in 30 countries.
2018–2019

eICU, GOSSIS and MIMIC-CXR

In 2018, he coauthors the eICU Collaborative Research Database, a multicenter ICU resource covering more than 200,000 admissions and supporting machine-learning development. In 2019, he works with GOSSIS on a global ICU severity score and coauthors MIMIC-CXR, a dataset of 227,835 imaging studies for 65,379 patients.
2020

AI infrastructure at T-CAIREM

At its 2020 launch, he is an infrastructure co-lead at the University of Toronto's Temerty Centre for Artificial Intelligence Research and Education in Medicine, with a Computer Science/SickKids affiliation.
2025

Health Data Nexus

In 2025, he coauthors a paper on Health Data Nexus, an open data platform for AI research and education in medicine.
As of October 2026

Independent scientist and judge

In July 2024, he works as an independent consultant for Glowyr, supporting projects in biomedical data and machine learning. In February 2026, he serves as a judge at T-CAIREM's healthcare AI startup pitch competition with a Glowyr affiliation. As of October 2026, he is an independent scientist.