Lauren N Ross.

Lauren N. Ross

Associate professor of logic and philosophy of science
University of California, Irvine

Lauren N. Ross is associate professor of logic and philosophy of science at the University of California, Irvine. Her research concerns causal reasoning and explanation in the life sciences, primarily neuroscience and biology.  One main area of her research explores causal varieties—different types of causes, causal relationships and causal systems in the life sciences. Her work identifies the features characteristic of these causal varieties and their implications for how these systems are studied, how they figure in scientific explanations and how they behave. A second main area of work focuses on types of explanation in neuroscience and biology, including distinct forms of causal and noncausal explanation.

Ross’ research has received a National Science Foundation CAREER award, a Humboldt Experienced Researcher Fellowship, a John Templeton Foundation Grant, and an Editor’s Choice Award at the British Journal for the Philosophy of Science.  Recent publications include “Causation in neuroscience: Keeping mechanism meaningful” with Dani S. Bassett in Nature Reviews Neuroscience and a forthcoming book, “Explanation in Biology” (Cambridge University Press: Elements Series).

Explore more from The Transmitter

Illustration of two planet-like spheres orbiting one another.

Can AI do neuroscience without understanding?

Prediction without understanding sustained astronomy through a thousand years of epicycles. Artificial intelligence is now offering neuroscience the same deal.

By Anthony Zador
27 April 2026 | 6 min read
Hands cut a ribbon.

What Trump’s psychedelics executive order means for basic neuroscience

The order provides a potential path to remove some psychedelic drugs from the strictest regulatory category, yet it “may not be the breakthrough the basic research community has been looking for,” says neuroscientist Shawn Lockery.

By Calli McMurray
24 April 2026 | 4 min read
Research image visualizing neuronal activity.

Switching neural code may solve ongoing face-recognition debate

Face patch cells in macaque monkeys initially respond to images of any object but rapidly transition to attend to faces exclusively, a new study finds.

By Holly Barker
23 April 2026 | 5 min read