News

Read more about ICME Phd candidate, Sherrie Wangs's, engineering journey.

Stanford Graduate School of Business professor and HAI Associate Director Susan Athey will serve as chief economist of the antitrust division at the U.S. Department of Justice.

Read more about ICME Phd candidate, Christopher Hoyt's, work on neural networks and artificial intelligence.

Eric Dunham, Stanford geophysicist, details how new types of data collection and faster computers are helping our knowledge of natural phenomena and how to prepare for them.

A professor of mechanical engineering explains how computational models of Alzheimer’s spread in the brain are providing new information about the disease.

The Faculty Women’s Forum recognizes 14 faculty members and one staffer for their outstanding work supporting women at Stanford through role modeling and allyship.

Read more about ICME PhD candidate, Julia Olivieri's, academic and professional journey

Read more about ICME PhD candidate, Jani Adcock's, passion for engineering and fighting climate change

Read more about ICME PhD candidate, Abeynaya Gnanasekaran's, work in linear algebra

Stanford University study suggests the weight of snow and ice atop the Sierra Nevada affects a California volcano’s carbon dioxide emissions

The Director of ICME shares his unconventional journey

An expert in the spread of misinformation talks about how we might at last conquer falsehood and the surprising new direction his work is taking him

A team of researchers argues that AI enables a form of congestion pricing that could make everyone at every income level better off.

Faster supercomputers and better modeling are being paired with optimized wind tunnels and flight testing to design new-age commercial airplanes.

A team of scientists from Stanford and Mexico developed advanced versions of the algorithms used to reveal people’s ancestries to show how Polynesian mariners crossed a vast ocean.

Stanford Data Science invite applications for a tenure-track appointment at the assistant professor or untenured associate professor level in the School of Engineering.

Scholars propose a way to help mobile robots choose when to communicate with the cloud without latency or lost data issues.

Stanford researchers develop machine learning methods that accurately predict the 3D shapes of drug targets and other important biological molecules, even with limited data.