DataX Research and Impact
Many researchers at Princeton University and elsewhere develop their own software programs to help them elucidate complex processes and solve interesting problems, from biomedicine to water management.
As machine learning gains traction in research and industry, one subfield, deep learning, has emerged as a hot area of interest due to rapid development and research, according to Boris Hanin, an assistant professor in Princeton University’s Department of Operations Research and Financial Engineering.
In certain regions of Africa wracked by heavy poaching, people have observed an increased incidence of African elephants without their iconic white tusks, which are prized in the multibillion-dollar wildlife black market.
To probe the origin and spread of cancers in the human body more effectively, Ben Raphael, professor of computer science at Princeton University, and his research lab created HATCHet or Holistic Allele-specific
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.
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.