Meet the National Student Data Corps (NSDC) leadership team!
NSDC HQ Team
The NSDC HQ Team spearheads the program’s events, opportunities, and initiatives.
FlorenceHudson
Executive Director, Co-Principal Investigator, Northeast Big Data Innovation Hub, Columbia University
EmilyRothenberg
NSDC Program Coordinator, Northeast Big Data Innovation Hub, Columbia University
DashanshPrajapati
NSDC Student Coordinator, Northeast Big Data Innovation Hub, Columbia University
RahulrajSingh
NSDC Student Coordinator, Northeast Big Data Innovation Hub, Columbia University
Founding Committee
The NSDC Founding Committee has been instrumental in building this program. Learn more about the Founding Committee’s Teams, including the Content & Pedagogy, Peer Instructors, and Outreach Teams, listed below.
ElieAlhajjar
Machine Learning Researcher, Army Cyber Institute; Assistant Professor, Department of Mathematical Sciences, United States Military Academy; Senior Information Scientist, RAND Corporation
AjayAnand
Associate Professor and Deputy Director, Goergen Data Science Institute, University of Rochester
Director of Center for Business Analytics, and Associate Professor of Information Systems, Rider University
NSDC Teams led by the NSDC Founding Committee
Content & Pedagogy
Led by Andre de Waal, Frederico d’Oleire Uquillas, and Yusuf Danisman, our Content & Pedagogy team builds a curriculum leveraging academia and industry generated pedagogy and materials to teach data science fundamentals, as well as translational data science with pertinent use cases.
Peer Instructors
The Peer Instructors team consists of graduate, undergraduate, and post-doc students who will teach data science remotely to students who do not have access to data science programs, and play a significant role in shaping the student experience.
Outreach
The Outreach team, led by Forough Ghahramani and Jennifer Oxenford, identifies and enables collaborators interested in engaging the NSDC to increase data science education and knowledge. This includes higher ed institutions, students interested in engaging with the NSDC, and community and government institutions that employ data science, providing real-world examples to teach practical, translational data science.