The mysteries and fun of chemistry lured Jose A. Garrido Torres to devote his academic career to the discipline. But as he pursued the subject, Garrido Torres still wanted to maintain his interest in computers, particularly the application of computing to data science.
DataX Research and Impact
Amy Winecoff’s path to becoming a data scientist at Princeton University was a circuitous one but it has uniquely prepared her for the interdisciplinary work she is doing which touches on engineering, technology, public policy, and the social sciences.
DataX and the Center for Information Technology Policy are sponsoring a new reading group on recommender systems (RS) that's meeting biweekly starting March 30, 2021.
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.
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.
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.
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 inhospitable to humans...
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.
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.