Elizabeth Lucas, Correspondent, specializes in data analysis and reporting for the KHN enterprise team. She came from Investigative Reporters and Editors (IRE), where she spent four years training and supporting data journalists around the world as the NICAR Data Library director. Previously she worked as a data reporter on health and the environment for the Center for Public Integrity. She has a master’s degree from the Missouri School of Journalism.
Elizabeth Lucas
From this contributor
Health companies gave generously to President Trump’s inauguration
Facing acute risks to their businesses from Washington policymakers, health companies spent more than $2 million to buy access to the incoming Trump administration via candlelight dinners, black-tie balls and other inauguration events.
Health companies gave generously to President Trump’s inauguration
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Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.