Do you have a strong background in scientific programming, academic research, and are eager to contribute to groundbreaking research? Do you love to write code and analyze data? Then please consider joining our growing team of data scientists!
The latest updates for the University community about COVID-19 are available on the University’s coronavirus website, accessible from the link below. The site contains recent communications with important information for students, faculty and staff, as well as FAQs.
Since he arrived at Princeton University in late 2017, Vineet Bansal has been very busy. Bansal is a senior research software engineer jointly appointed in the Center for Statistics and Machine Learning (CSML) and the Princeton Institute for Computational Science and Engineering (PICSciE).
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.
Humanity is at an inflection point. More and more decisions once made by people are being made by machines, often without transparency or accountability. A.I. Nation, a new podcast from WHYY and Princeton University, reveals how artificial intelligence is operating in the background, and sometimes foreground, of every major story,...
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.
Ricardo Masini, a newly appointed lecturer for Princeton University’s Center for Statistics and Machine Learning (CSML), brings an eclectic background to his job, including stints as a systems engineer and business consultant. But the one he treasures the most is educator.