DataX Research and Impact

DataX – Brian Arnold: using data science to answer questions in biology
March 22, 2021
Author
Written by Sharon Adarlo

In his past research, Brian Arnold traveled Europe to study a common wildflower, Arabidopsis arenosa, which has white to lavender-colored flowers that resemble violets at a glance and grows on rocky outcrops in the Alps and the Carpathian Mountains.

Arnold studied this…

Popular Computing Bootcamp Expands into Two-Week Event
Feb. 19, 2021
Author
Written by Sharon Adarlo
It was a productive winter break for attendees of Princeton University’s virtual two-week computing bootcamp, which had over 300 registrants and covered a wide range of subjects, from foundational skills on programming languages to high performance computing. This was the first time the Princeton Research Computing Bootcamp, in its third year, was expanded to two weeks after growing in popularity since its inception in 2018 as a four-day event. The bootcamp, which was held from January 19 to 29, drew mostly graduate students and postdocs but also a few undergraduates and faculty members. Participants hailed from 37 departments, including Princeton Plasma Physics Laboratory and the Institute for Advanced Study.
DataX - Unveiling the History of the Milky Way Galaxy
Nov. 23, 2020
Author
Written by Sharon Adarlo

With the launch of the Gaia satellite in 2013, scientists have been receiving an unprecedented quantity and quality of data on a billion stars in the Milky Way. But the data sets are incomplete. Gaia does not currently provide the complete position and velocity coordinates for all billion stars.

DataX – using data science to explore and study mass social interactions and online behavior
Nov. 18, 2020
Author
Written by Sharon Adarlo

It is common for researchers to conduct field studies to study mass social behavior in online networks, such as Facebook or Reddit. These studies lead to qualitative-based conclusions. However, until recently, replicating these interactions in the lab and at scale has been hard to do.

A…

DataX – advancing the frontiers of computer vision and natural language processing
Nov. 16, 2020
Author
Written by Sharon Adarlo

Over the last several years, researchers have developed advanced machine learning tools to provide captions for still images and video. Applications for advanced image caption tools could include an assistant robot for the visually impaired or a robot that performs reconnaissance missions in environments…

DataX progress on chemistry, neuroscience and federated learning research
June 15, 2020
Author
Written by Sharon Adarlo

Under Princeton University’s DataX Fund, several research teams have been busy exploring how data science tools can speed up scientific discovery in a wide range of disciplines.

From these teams, we profile three projects that have yielded promising results, respectively in creating new…

DataX - Andrzej Żurański: using machine learning to study chemical reactions
May 29, 2020
Author
Written by Sharon Adarlo

Though he only joined Princeton University as a data scientist in November, Andrzej Żurański is already involved in some exciting research on campus: applying machine learning techniques to explore the mysteries underpinning chemical reactions. His contributions are aimed at discovering efficient methods for the…

DataX - Pranay Anchuri: using big data to tackle social science and technology 
May 27, 2020
Author
Written by Sharon Adarlo

When Pranay  Anchuri  was a college sophomore studying computer science, he worked on a project developing a search engine to crawl through Wikipedia for information. It was not a novel idea, but it got  Anchuri  hooked  on learning more about large scale data sets, leading him to his eventual career as a data…

Schmidt DataX Fund supports projects that harness data science to speed discovery
Nov. 18, 2019
Author
Written by Sharon Adarlo

Nine data-driven research projects have won funding from Princeton University’s Schmidt DataX Fund, which aims to spread and deepen the use of artificial intelligence and machine learning across campus with the aim of accelerating discovery.

In February, the University announced the 

Schmidt DataX Funds support CSML advances and innovation in Data Science.
Feb. 27, 2019

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.

The funds will support a range of campus-wide data science initiatives led by the…