Science & Technology


Data science students get a sampling of potential research areas

January 17, 2019

The latest “Project Pitch” event at the Department of Statistics and Data Science featured presentations on topics as diverse as linguistics and public health.

Physics and Dance

January 16, 2019

Emily Coates, associate professor of theater studies, and Sarah Demers, the Horace D. Taft Associate Professor of Physics (Yale University Press)

Electrospray: a Yale innovation keeps paying off

January 15, 2019

In the early 20th century, Yale’s John Zeleny was the lone pioneer in electrospray studies. Now electrospray is used for batteries, drugs, rockets, and more.

Principles of Secure Processor Architecture Design

January 15, 2019

Jakub Szefer, assistant professor of electrical engineering and of computer science (Morgan & Claypool Publishers)

Research reveals strategies for combating science misinformation

January 14, 2019

Public inoculation, legal strategies, political mechanisms, and financial transparency may effectively combat scientific misinformation on climate change.

Innovative technology offers new insights into RNA

January 11, 2019

In a new study, researchers at Yale were able to profile for the first time both microRNA and messenger RNA in the same individual cell.

Yale researchers track the birth of memories

January 10, 2019

Using newborn rats as a model, Yale researchers have identified three distinct stages in brain development that occur before episodic memories can form.

Astronomers uncover the brightest quasar in the early universe

January 9, 2019

Researchers have discovered the brightest quasar yet known, detected from the period when the universe’s star-making hydrogen gas became ionized.

CHIME telescope detects second repeating fast radio burst from other galaxy

January 9, 2019

As part of the Canadian Hydrogen Intensity Mapping Experiment, Yale’s Laura Newburgh has helped detect a rare, repeating radio burst from outside the Milky Way.

Neural fingerprints ID those likely to abstain from cocaine

January 4, 2019

A machine-learning technique developed at Yale has identified a brain network that predicts future abstinence and may help customize treatments in the future.