Data Scientist Positions Available at Princeton
June 12, 2020

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! 

Princeton University is building a community of data scientists to work in partnership…

Latest information related to COVID-19
March 13, 2020

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.

Oluwatamilore “Tamilore” Ajeigbe: harnessing data science to look at impact of race on STEM retention rates
Sept. 30, 2022

For her CSML independent work project, Ajeigbe decided to compare data from Predominantly White Institutions (PWIs) versus Historically Black College and Universities (HBCUs). She used pruned decision trees and OLS regression to uncover factors that would make a student more likely to stay in a STEM major and whether these factors changed depending on the institution, PWI or HBCU.

CSML hosts "Welcome Back" event
Sept. 26, 2022

The Center for Statistics and Machine Learning’s (CSML) "Welcome Back" reception for undergraduate and graduate certificate students, researchers and faculty was a chance to mark the beginning of the academic year, catch up with colleagues, and strengthen ties within the campus data science community. The event was held on September 19th. Check the post for a slideshow of pictures. 

DataX Postdoctoral Fellowships Available at Princeton
Sept. 21, 2022

The Center for Statistics and Machine Learning (CSML) invites applications for DataX Postdoctoral Fellowships. The DataX Postdoctoral Fellowships are intended for early-career scientists with a research interest in data science, statistics, and machine learning. 

Hannah To: using data science to look at impact of gangs in El Salvador
Sept. 2, 2022

For her CSML independent work project, Hannah To worked on a study to see how gangs in El Salvador impacted labor, and was advised by Thomas Fujiwara, associate professor of economics and international affairs. This project also fulfilled her senior thesis requirement.

CSML Alumni Profile: Ujjwal Dahuja uses data science to make sense of complex, big data in finance
Aug. 24, 2022

Ujjwal Dahuja is currently an associate at Blackstone Alternative Asset Management (BAAM), a leading alternative investment firm. At BAAM, Dahuja is in a team responsible for making allocation recommendations on quantitative hedge funds, private hedge funds that use systematic processes for asset selection. 

Scientists use artificial intelligence to model the formation of ice
Aug. 18, 2022

A team based at Princeton University has accurately simulated the initial steps of ice formation by applying artificial intelligence (AI) to solving equations that govern the quantum behavior of individual atoms and molecules. 

The resulting simulation describes how water molecules transition into solid ice with quantum accuracy…

CSML Alumni Profile: Sid Gupta uses data science to analyze the financial markets
Aug. 10, 2022
Written by Sharon Adarlo

For his master’s degree thesis, which also fulfilled requirements in the CSML graduate certificate, Sid Gupta compared the use of various machine learning methods to estimate probable volatility and prices for vanilla options, a type of financial derivative. In addition to neural networks, Gupta used decision tree-based ensemble models such as gradient boosted trees and random forests to estimate volatility. 

Jafar Howe: applying machine learning to analyze and detect different language accents
Aug. 1, 2022

For his independent project for CSML, Jafar Howe decided to develop an English language accent classifier, basically a tool to accurately detect different English accents. Howe did this by converting speech samples into a time-frequency spectrogram, a visual representation of audio.