Data Science

Computer scientist Braverman receives top national award for young researchers
April 8, 2019
Written by By the Office of Engineering Communications and the National Science Foundation

Mark Braverman, who focuses on core problems of theoretical computer science and applies the results to a broad range of disciplines, has been awarded the National Science Foundation’s highest honor for young researchers, the Alan T. Waterman Award…

Post 'net neutrality' internet needs new measurement tools, Princeton experts tell policymakers
March 29, 2019
Written by John Sullivan, Office of Engineering Communications

For much of the past decade, fierce political battles over the internet have involved concerns that the fastest access would go only to those with the greatest ability to pay. In testimony last week in Washington, however, a Princeton professor said measuring such performance is no longer so simple. On the internet, speed no longer rules.

Princeton Profiles: Roberts sisters study how to make the internet fairer and safer
March 21, 2019
Written by Melissa Moss, Office of Communications

When they were growing up in Dallas, Claudia and Laura Roberts would get frequent talks from their parents about how they might be judged by different standards in society due to prejudice.

“Our father is from Panama and our mother is from Mexico,” said Claudia. “As immigrants to this country, they thought a lot about how to raise two…

Funds spur innovation and benefit for society
March 6, 2019
Written by Molly Sharlach, Office of Engineering Communications

Funds spur innovation and benefit for society Molly Sharlach, Office of Engineering Communications Mar 6, 2019 faculty A new method to combat antibiotic resistance; a way to use computer science to limit misinformation; and a plan to better understand the impacts of land use and climate change on flooding are among 19 projects awarded…

Opening the Door to Our World: Machine Literacy and Beyond
March 5, 2019
Written by Doug Hulette for the Department of Computer Science

Suppose you want to take on some stern challenge like, say, summiting Annapurna in the Himalayas of Nepal. You had better know what you’re doing. 

The logical place to start would be to peruse books and guides that relate the adventures of other people who have done it, to learn from their experiences (including their…

Data science tool that reveals molecular causes of disease shows power in infant cancer analysis
Feb. 28, 2019
Written by Steven Schultz, Office of Engineering Communications

Princeton University researchers are gaining new insights into the causes and characteristics of diseases by harnessing machine learning to analyze molecular patterns across hundreds of diseases simultaneously. Demonstrating a new tool now available to researchers worldwide, the team of computer scientists and biologists has already uncovered…

DataX effort jumpstarts demonstration data science project at Princeton
Feb. 27, 2019
Written by The Office of Communications

Princeton University researchers will push the limits of data science by leveraging artificial intelligence and machine learning across the research spectrum in an interdisciplinary pilot project made possible through a major gift from Schmidt Futures.


Princeton IP accelerator funding awarded to seven promising technologies
Feb. 6, 2019
Written by Catherine Zandonella, Office of the Dean for Research

Seven innovations with the potential to benefit society and spur the economy have been awarded funding to bridge the gap between laboratory research and the development needed to move promising ideas into the global marketplace.

Princeton's Intellectual…

Griffiths receives Troland prize from the National Academy of Sciences
Jan. 23, 2019
Written by Liz Fuller-Wright, Office of Communications

The National Academy of Sciences announced today that Thomas Griffiths has received one of the two Troland Research Awards issued this year “for his research into how people and machines make decisions.” The Troland awards recognize unusual achievement by young investigators…

Machine learning could reduce testing, improve treatment for intensive care patients
Jan. 15, 2019
Written by Molly Sharlach, Office of Engineering Communications

Doctors in intensive care units face a continual dilemma: Every blood test they order could yield critical information, but also adds costs and risks for patients. To address this challenge, researchers from Princeton University are developing a computational approach to help clinicians more effectively monitor patients’…