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

Autism scientists push back on CDC’s inaccurate vaccine claims

The CDC website now falsely suggests that autism-vaccine research is still an open question, prompting distrust among researchers—some of whom anticipate “more unreliable statements coming from the junta that took over” the agency.

By The Transmitter
21 November 2025 | 6 min read

Gene replacement therapy normalizes some traits in SYNGAP1 model mice

The first published virus-based gene therapy for SYNGAP1 deletion yields benefits despite the gene’s long length and complexity.

By Charles Q. Choi
20 November 2025 | 5 min read

Does AI understand what it produces? Henk de Regt explores how we might assess understanding in machines and humans

Building on his philosophy of how scientists understand what they work on, de Regt is extending his approach to test understanding in machines.

By Paul Middlebrooks
19 November 2025 | 1 min read

privacy consent banner

Privacy Preference

We use cookies to provide you with the best online experience. By clicking “Accept All,” you help us understand how our site is used and enhance its performance. You can change your choice at any time. To learn more, please visit our Privacy Policy.