Data Science

Princeton leads efforts to develop national data training framework for high energy physics
Aug. 19, 2019
Written by Melissa Moss for the Princeton Institute for Computational Science and Engineering

For the third consecutive summer, high  energy physics graduate students, postdocs and instructors from across the United States, as well as from India, Italy and Switzerland, gathered at Princeton University to attend the school on Tools, Techniques and Methods for Computational and Data Science for High Energy Physics or

Innovative tiny laser has potential uses in drug quality control, medical diagnosis, airplane safety
July 24, 2019
Written by Molly Sharlach, Office of Engineering Communications

In a major step toward developing portable scanners that can rapidly measure molecules on the pharmaceutical production line or classify tissue in patients’ skin, a Princeton-led team of researchers has created an imaging system that uses lasers small and efficient enough to fit on a microchip.

Strange warping geometry helps to push scientific boundaries
July 15, 2019
Written by Molly Sharlach, Office of Engineering Communications

Atomic interactions in everyday solids and liquids are so complex that some of these materials’ properties continue to elude physicists’ understanding. Solving the problems mathematically is beyond the capabilities of modern computers, so scientists at Princeton University have turned to an unusual branch of geometry…

Princeton to hold first GPU hackathon
June 19, 2019
Written by Melissa Moss for the Princeton Institute for Computational Science and Engineering

Princeton will hold its first GPU hackathon on campus from June 24 to 28, organized and hosted by the Princeton Institute for Computational Science and Engineering (PICSciE), and co-sponsored by…

Artificial intelligence detects a new class of mutations behind autism
May 28, 2019
Written by Steven Schultz, Office of Engineering Communications

Many mutations in DNA that contribute to disease are not in actual genes but instead lie in the 99% of the genome once considered "junk." Even though scientists have recently come to understand that these vast stretches of DNA do in fact play critical roles, deciphering these effects on a wide scale has been impossible until now.


Freedman receives top honor for computer science
May 17, 2019
Written by the Office of Engineering Communications and Association for Computing Machinery

Michael Freedman, a professor of computer science, has been awarded this year’s Grace Murray Hopper Award from the Association for Computing Machinery. 

The award, one of the most prestigious in computer science,…

New campus-wide service will enhance access to research data
May 14, 2019
Written by Catherine Zandonella, Office of the Dean for Research

With the goal of making the results of research and scholarship more accessible, Princeton will launch a new service to provide infrastructure and training to University researchers on how best to format and curate data in ways that facilitate long-term storage and discovery.  

The Princeton…

Google AI lab formally opens in downtown Princeton, bolstering innovation and invention
May 3, 2019
Written by Liz Fuller-Wright, Office of Communications

Google’s newest AI lab — located across the street from Princeton University’s Nassau Hall — officially launched on Thursday, May 2, with speeches and research presentations by state and local officials, Google executives, and University executives and students.

The lab, at 1 Palmer Square, is already playing a vital role in expanding…

Bringing Balance to the Quantum Force
April 24, 2019
Written by Doug Hulette, Computer Science

Quantum computing has plenty of skeptics, but assistant professor Mark Zhandry isn’t one of them. 

Zhandry, who joined the Department of Computer Science in 2016, is confident that the technology, driven by…

Panelists tell UN expert that artificial intelligence offers promise and peril for social programs
April 18, 2019
Written by John Sullivan, Office of Engineering Communications
While artificial intelligence could help bring greater effectiveness and fairness to social programs such as disability and health benefits, it could also be used to unjustly deny assistance to people in need.