In a Q&A, Yuejie Chi, Charles C. and Dorathea S. Dilley Professor of Statistics and Data Science, discusses her ongoing research into making AI more efficient.

Daniel Spielman, Sterling Professor of Computer Science and Professor of Statistics and Data Science and of Mathematics, was featured in Scientific American as a leading academic calling for AI companies to be more transparent about claims that models can do pure mathematics.

Zongming Ma, Professor of Statistics and Data Science, worked together with colleagues in Biomedical Engineering and Pathology to develop a new technology that addresses one of the most persistent challenges in spatial biology: determining how tissue sections differ from each other.

With state-of-the-art research facilities and collaborative spaces, Yale’s Wu Tsai Institute is on a mission to understand human cognition by bridging academic disciplines.

In an op-ed for the Los Angeles Times, Mark Gerstein (Albert L Williams Professor of Biomedical Informatics; Professor of Molecular Biophysics and Biochemistry and of Computer Science and of Statistics & Data Science) writes that because powerful technologies can become destructive, artificial intelligence companies must be responsible stewards of their creations.

Crowd-sourced fact-checking of potentially misleading information is an effective tool to combat online misinformation, according to a new study led by Johan Ugander, Associate Professor of Statistics and Data Science.

Incoming FAS faculty member Xiang Zhou is developing novel computational and statistical methods to help other scientists understand the genetic drivers of disease.

Huang, Assistant Professor of Statistics & Data Science and of Political Science, speaks with the Institution for Social and Policy Studies about her work and how it can improve the accuracy and practicality of social science.

Yale data scientist Lu Lu is taking a physics-informed approach to artificial intelligence that has applications in an array of scientific and engineering disciplines.

Yihong Wu, whose work lies at the intersection of high-dimensional statistics, information theory, and computer science, joined the Yale faculty in 2016.