Students

Congestion pricing schemes to lessen traffic's societal costs could benefit from a simple, practical algorithm that optimizes tolls based on driver behavior.

(ICME Alum) Lek-Heng Lim uses tools from algebra, geometry and topology to answer questions in machine learning.

Stanford AIMI scholars found a way to generate synthetic chest X-rays by fine-tuning the open-source Stable Diffusion foundation model.

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

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

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

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

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.

A group of scholars discuss how medicine, artificial intelligence, criminology, and other fields can better understand and anticipate bias and the ways it manifests in society.