News

DataX – Jose A. Garrido Torres: using machine learning to push innovation in chemistry
April 5, 2021
Author
Written by Sharon Adarlo

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. In his academic career, Garrido Torres combined…

DataX – Amy Winecoff: working at the intersection of data, technology, social sciences
March 29, 2021
Author
Written by Sharon Adarlo

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.

Before starting at Princeton in…

New event series on recommender systems
March 24, 2021
Author
Written by Sharon Adarlo

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.

The goal of the RS reading group is to gain deeper understanding both of seminal work as well as emerging ideas in the…

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…

From aeronautical engineering to data science: Ricardo Masini brings a wealth of experience
March 8, 2021
Author
Written by Sharon Adarlo

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.

Masini joined…

Noemi Vergopolan: satellite data and machine learning for predicting droughts
March 1, 2021
Author
Written by Sharon Adarlo
Noemi Vergopolan's research aims to understand the impact of extreme hydroclimate, such as droughts and floods, on human activities. One focus of her research is predicting soil moisture, droughts, and their impact on agricultural production, such as corn yields.
Mia Hu: hunting for Earth-like exoplanets
Feb. 24, 2021
Author
Written by Sharon Adarlo
Mia Hu’s research concerns itself with a simple and yet difficult question: Are humans the only intelligent life form in the universe? Hu’s answering of this question manifests itself in the task of trying to find exoplanets that can possibly harbor life. “What we are trying to do is to find another Earth,” she said.
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.
Call for Azure Cloud Computing Proposals
Feb. 15, 2021

With the support of a gift from Microsoft Corporation, the Center for Statistics and Machine Learning (CSML) is pleased to announce a call for proposals for Azure cloud computing grants and mini-grants. The grants are available to both faculty and students and can support computational data science research across a variety of domain areas, e.g. health and biomedical, life sciences, social sciences, chemistry, materials research, machine learning, etc. 

Doyle Lab Creates Open-Source Software To Optimize Reactions
Feb. 8, 2021
Author
Written by Wendy Plump
In the past few years, the Doyle Lab has turned increasingly to data science techniques to assist problem-solving in organic synthesis. Researchers are driven partly by a year-old federal initiative that seeks to conjoin data science and chemistry, and partly by the notion that a chemist’s time is better spent exploring new reactions than optimizing them.  Using that mission to help synthetic chemists at the bench, researchers have developed an open-source software tool that provides them with a state-of-the-art optimization algorithm for everyday work, folding what’s been learned in the machine learning optimization field into synthetic chemistry.