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!
News
Friday, Mar 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.
Monday, Aug 10, 2020
Yang Song majored in Computer Science (COS) and also earned five certificates: the Undergraduate Certificate Program in Statistics and Machine Learning from the Center for Statistics and Machine Learning (CSML), Applied and Computational Mathematics, Engineering and Management Systems, Finance, and Music Performance in Clarinet.
Wednesday, Aug 5, 2020
Olga Russakovsky, assistant professor of computer science and participating faculty member of the Center for Statistics and Machine Learning (CSML), received the Emerging Leader Abie Award recognizing her AI4ALL work and research on artificial intelligence.
Friday, Jul 31, 2020
Why do people buy lottery tickets?
Florence Wang ’21 set out to answer this seemingly simple question in her independent project for the Center for Statistics and Machine Learning’s (CSML) certificate program. Looking at this question deeply, she arrived at some intriguing results that could be used to formulate socioeconomic policies on lotteries...
Wednesday, Jul 29, 2020
As the name suggests, automatic control concerns the control of dynamic continuously operating systems such as the cruise control on a vehicle, auto pilots on aircraft, industrial process control (paper, steel, chemicals), and building heating.
Wednesday, Jul 15, 2020
Student course assignments in Princeton data science classes are helping improve data science education worldwide.
Monday, Jul 6, 2020
Highlights feature many of our events this past year plus students who have taken classes and participated in gatherings, and those who have graduated.
Wednesday, Jun 24, 2020
The COVID-19 outbreak has disrupted normal activities in nearly all aspects of higher education. To reopen our universities, we need new technology and innovative practices to safeguard students against the potential second wave of the virus outbreak. In this proposal, we seek to develop analytical methods for modeling and mitigating the COVID-19...
Monday, Jun 15, 2020
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.
