National Student Data Corps

Welcome to the NSDC community!

The National Student Data Corps (NSDC) is a community-developed initiative that teaches data science fundamentals to students across the United States and around the world, with a special focus on underserved institutions and students.

Since the launch of the NSDC in February 2021 as the Northeast Student Data Corps, the NSDC community has grown to include nearly 2,700 individuals from 459 institutions representing the U.S. and 20 other countries – Australia, Botswana, Canada, Ecuador, Ethiopia, France, Germany, Ghana, India, Lebanon, Mali, Mexico, Nepal, Netherlands, Nigeria, Peru, Philippines, South Korea, Turkey, and the United Arab Emirates. This amazing growth and reach precipitated its renaming to the National Student Data Corps.

We are grateful to the NSDC Founding Committee, which includes 24 members from academia, industry and nonprofits, who have come together to cultivate a community of diverse insights and perspectives to envision, develop and launch the NSDC portal and community, a groundbreaking and inclusive new program in data science.

NSDC Now a National Program!

Join the Inaugural NSDC Data Science Symposium!

The NSDC DSS will provide a virtual forum for undergraduate and graduate students at public and private universities, colleges and community colleges who are interested in data science to present research, network with other data science students, and grow their data science knowledge and community. If you are a student who is looking to create and present a research project as an NSDC Explorer, we welcome you to participate in the Inaugural NSDC DSS!

If you are an industry/non-profit professional, academic professional, researcher, faculty member, or graduate student, we invite you to volunteer and participate as a mentor, judge, or both!

Learn more on the DSS webpage

View and download an insight paper on the original Northeast Student Data Corps.

Data Science Panel Series

Our Data Science Panel webinar series features students and professionals from academia, government, industry, and nonprofits who share their experiences learning and using data science. These enthusiasts share their personal journeys in data science, highlighting the wide range of educational opportunities and career paths available in data science and data analytics.

  • Watch the full recordings of our past panels on our YouTube channel.
  • Read a recap of the April 2022 event with panelists from CUNY, Brown, CCNY, and Columbia.
  • Read a recap of the March 2022 event with panelists from Nielsen, McKinsey & Company, and Newell Brands.
  • Read a recap of the February 2022 event with panelists from Resermine Inc., Accenture AI, and Datalogz.
  • Read a recap of the October 2021 event with panelists from World Wide Technology, Rose Data Studio, and NORC at the University of Chicago.
  • Read a recap of the August 2021 event with panelists from Microsoft, Maxar Technologies / Johns Hopkins, University of Central Florida, and Simons University.
  • Read a recap of the June 2021 event with panelists from MassMutual, Novartis, and NYU Tandon.
  • Read a recap of the April 2021 event with panelists from IBM, Temple University, Cold Spring Harbor Lab, and the University of Puerto Rico Río Piedras.
  • Read a recap of the inaugural February 2021 event with panelists from the World Resources Institute, Rutgers University, and Temple University.

The NSDC Career Panels inspire attendees to explore all the career possibilities data science offers. Read their comments below!

“What amazed me while listening to everyone’s journey is that all of them started from a different background, whether it was business or computer science, and ended up working in the field related to Data Science. Everyone’s intake and job experience prior and present gives me a reason to consider Data Science as a potential career goal.”

“One piece of advice that one of the panelists, Sanjana Reddy Pasnuri, gave that I will remember is ‘choose your job, don’t let your job choose you.’ “

“I believed that the meeting would involve a lot of complex terms and concept implementation of data science, which would be hard for me to understand at the moment as I just started learning about data science. However, it turned out to be very different from what I had thought it to be. At the end of the conference, I feel highly motivated to expand my knowledge of data science.”

Future Community Events

The National Student Data Corps (NSDC) is expanding its variety of community events beyond the Data Science Career Panel Series. Please fill out this survey to reflect your interests in various events you would like the NSDC to host in the near future.

Resources for Learners and Educators

Click below to browse Learner Central, Educator Central, and the NSDC Volunteer Video Library, our collections of data science resources for learners of all ages and backgrounds and educators interested in incorporating data science into their classrooms. Resources for learners are broken down by difficulty as well as topics in math, statistics, and programming. For educators in high school, college, or library programs; we’ve included videos, presentations, lecture notes, and code examples from IBM, UC Berkeley, MIT, and other organizations to help you build a comprehensive data science curriculum. The Volunteer Video Library for both learners and educators houses videos on data science topics created by NSDC volunteers, including Columbia University Master’s students. Jump in and see where data science can take you!

Career Resources and NSDC Opportunities

Data science is a growing field with applications in many industries, and new jobs being created every day. In Career Central, you can browse job listings, find tips to make your application stand out, and brush up on your computing or conversation skills so you can ace your next interview.

If you are interested in teaching data science to students from underserved communities, get involved with the NSDC! Check out our guide to starting an NSDC chapter in your area and the various volunteer opportunities we have available, from recording a video on your favorite data science topic to designing data science use cases.

NSDC Teams led by the NSDC Founding Committee

Woman writing on a white board

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.

Students looking at a computer

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. Team Leaders are Columbia Undergraduates Benjamin Sango, and Haleigh Stewart.

Close-up of a handshake


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.

Founding Committee

Elie Alhajjar
Research Scientist, Army Cyber Institute; Assistant Professor, Department of Mathematical Sciences, United States Military Academy

Dr. Elie Alhajjar's interests include mathematical modeling, machine learning, and network analysis. He has presented his research in international meetings in North America, Europe, and Asia.

Ajay Anand
Deputy Director, Goergen Data Science Institute, University of Rochester

Ajay Anand brings more than 12 years of industry experience serving in R&D roles as senior research scientist and technical project leader. Ajay is PI for an interdisciplinary NSF-REU grant focused on combining data science with applications in music and visual media. Ajay also leads outreach efforts to offer data science courses to high school students.

Catherine Cramer
Director, Woods Hole Institute

Catherine Cramer leads the development of tools and programs at the intersection of complex data-driven science, learning, and equity at the Woods Hole Institute. She has worked on ocean literacy with the NSF-funded Centers for Ocean Science Education Excellence and focuses on network literacy as co-founder of the international Network Science in Education initiative. Catherine co-leads the Data Science for All effort with the Hub.

Yusuf Danisman
Assistant Professor, Mathematics and Computer Science, Queensborough Community College, CUNY

Yusuf Danisman received his Ph.D. in Mathematics at The Ohio State University and worked at the University of Oklahoma before joining CUNY. He is currently working on fractal geometry and its applications to the stock market. Yusuf provides support for the Hub's Education + Data Literacy Focus Area. Yusuf is also a member of the Hub's Steering Committee.

Sarah Dunton
Director, Expanding Computing Education Pathways Alliance

Sarah T. Dunton develops strategies to increase the diversity of students in K-16 computer science education and career pathways with leadership teams in 22 states and the territory of Puerto Rico at the Expanding Computing Pathways Alliance, an NSF Broadening Participation in Computing Science Alliance program. Sarah’s educational advocacy and policy work is informed by the many years she led informal STEM education programs.

Elena Filatova
Assistant Professor, Computer Systems, New York City College of Technology

Elena Filatova is the Director of BS in Data Science program that was launched in CUNY NYCCT in Spring 2020. Dr. Filatova is also a doctoral faculty member in CUNY’s Graduate Center Computer Science department and Linguistics department. She holds a Ph.D. in Computer Science from Columbia University. Her research focuses on areas of natural language processing and crowdsourcing.

Forough Ghahramani
Associate Vice President for Research, Innovation, and Sponsored Programs, Edge

Forough was previously Associate Director of the Rutgers Discovery Informatics Institute (RDI2), where she led the development of the outreach and educational programs focused on big data and large-scale computing. Forough previously served as associate dean and department chair, new program development, teaching, and accreditation.

Forough is also a member of the Hub's Steering Committee.

Ahmed Gomaa
Director of Entrepreneurship and Associate Professor of Operations and Information Management, University of Scranton

Ahmed Gomaa's research concerns developing data applications to solve existing problems or improve business functions. He has published articles on entrepreneurship, health informatics, business analytics, blockchain, sentiment analysis, and security. Prior to joining academia, Ahmed founded a company that uses sentiment analysis for online marketing.

Leslie LaBarte
Seneca District Consultant, Seneca Library District

Leslie LaBarte became the Seneca District Consultant in January of 2017. The Seneca Library District is made up of Cameron, Elk, Forest, McKean, & Warren Counties in rural Northwestern Pennsylvania. Prior to becoming the District Consultant, Leslie was the Director at the Sugar Grove Free Library. She has her Bachelor's Degree in Business Administration with a Marketing Concentration from Empire State College and a Master's Degree in Library Science from University at Buffalo.

Cathie LeBlanc
General Education Coordinator and Professor of Digital Media, Plymouth State University

Since 1998, Cathie has been on the faculty at Plymouth State University, first in the Computer Science and Technology Department, and currently in the Communication and Media Studies Department where she is a Professor of Digital Media. Since 2018, she has served as PSU’s General Education Coordinator and has focused on implementing PSU’s Integrated Cluster Learning Model which involves integration and interdisciplinarity, project-based learning, and open pedagogy.

Hoang Luong
Associate, Morgan Stanley
Hoang served as Project Coordinator of the National Student Data Corps while enrolled as a student at Columbia University. Hoang created content for the NSDC and facilitated engagement for underrepresented groups. He received his Masters in Data Science at Columbia University, graduating in the Fall of 2021.
Thilanka Munasinghe
Lecturer, Rensselaer Polytechnic Institute

Thilanka Munasinghe is a lecturer at ITWS with a focus on teaching areas related to Data Science, Data Analytics and Informatics. Prior to joining RPI, Thilanka was the CodeLab instructor at the West Virginia University’s LaunchLab, where he was instrumental in providing technical expertise and mentorship to student entrepreneurs of early-stage student-initiated start-ups. Thilanka’s current research interests are on data-driven analytics using big data to address societal challenges in a diverse set of areas.

Kaylea Nelson
Senior Computational Research Support Analyst, Yale University

Kaylea Nelson assists researchers using high-performance computing clusters and with other research projects. Kaylea is the co-program manager for the NSF Cyberteam to Advance Research and Education in Eastern Regional Schools (CAREERS) Program. Over three years, the program will support 72 compute-intensive projects with RCFs-in-training ("students"), each paired with a mentor, to facilitate research computing needs.

Jennifer Oxenford
Director, Member Services and NYC Dark Fiber Program at NYSERNet

Jennifer Oxenford is Director of Member Services and NYC Dark Fiber Program at NYSERNet. NYSERNet's mission is to advance the research and educational missions of our members by delivering a full range of customized, progressive, and affordable end-to-end data and networking technology solutions.

Xingye Qiao
Associate Professor of Mathematical Sciences and Chair of the Data Science Transdisciplinary Area of Excellence, Binghamton University

Xingye Qiao's research interests lie in statistics and machine learning, as he develops and analyzes predictive and inferential tools for complex data problems. Dr. Qiao is also interested in the outreach and educational effort of promoting the awareness of data science ethics, AI fairness, and inclusive and equitable data science.

Aunshul Rege
Associate Professor, Department of Criminal Justice, Temple University

Aunshul Rege's NSF-sponsored research and education projects examine the human element of cybercrimes. She intersects theoretical frameworks and methodologies from criminology with hard science approaches to foster innovative and multidisciplinary proactive cybersecurity research. She loves social and technical science education and teaching about the relevance of the human factor in cybersecurity.

Benjamin Sango
Student Assistant, Northeast Big Data Innovation Hub

Benjy assists with the Seed Fund Program and manages the Hub's Community Engagement Analytics.  Benjy is currently pursuing a Bachelor's in Economics at Columbia University, and he is expected to Graduate in the Spring of 2022. 

Oshani Seneviratne
Director, Health Data Research, Institute for Data Exploration and Applications, Rensselaer Polytechnic Institute

Oshani Seneviratne leads the Smart Contracts Augmented with Analytics Learning and Semantics project and is also involved in the Health Empowerment by Analytics, Learning, and Semantics project. Before Rensselaer, Oshani worked at Oracle, specializing in distributed systems, provenance, and healthcare research.

Haleigh Stewart
Project Coordinator, Northeast Big Data Innovation Hub

Haleigh collaborates with the NSDC Founding Committee to cultivate content and community engagement. She is helping to launch the Hub's Data Science Career Panel series. Haleigh is pursuing a Bachelor's in Psychology with a Special Concentration in Public Health at Columbia University, and she is expected to graduate in the Spring of 2022.

Federico d'Oleire Uquillas
Ph.D. Student, Princeton University; National Science Foundation GRF; Ford Foundation National Academies of Sciences Predoctoral Fellow

Fred is a graduate student and Presidential Fellow in the Neuroscience Department at Princeton University. His research concerns large-scale human brain networks and mechanistic models of how the cerebellum influences the structure and function of the neocortex. Fred works with the Neuroscience Outreach Network to provide K-12 students with current and age-appropriate neuroscience educational programs. Before coming to Princeton, he worked as a neuroimaging assistant at Harvard Medical School.

Andre de Waal
Data and AI Expert Labs Learning, Academic Technology Lead IBM Cloud and Cognitive Software

Andre de Waal did postdoctoral research in Logic Programming and Automated Theorem Proving in Germany and Belgium. He then returned to South Africa to take up his position as lecturer in the Department of Computer Science and Information System at North-West University. At the end of 2010, Andre de Waal joined SAS Institute in the US as an Analytical Training Consultant before joining IBM in 2019 as the Ecosystem Data Science an AI Learning University Programs Lead.

Tony Ye
Ph.D. Student, Princeton University

Tony is a Ph.D. student in Operations Research and Financial Engineering at Princeton. His research focuses on credit patterns, their role in forecasting financial crisis, and constructing systems for crisis risk management. As a teaching fellow, Tony orients grad student teachers, develops data science curriculum, and oversees course operations. Previously, Tony led Science Rendezvous Toronto to promote science literacy through outreach initiatives, an annual festival that attracted 50,000 attendees. 

Emre Yetgin
Director of Center for Business Analytics and Assistant Professor of Information Systems, Rider University

Dr. Emre Yetgin's main teaching interests are in Business Data Analytics, Data Visualization, and Management Information Systems. His current research spans the fields of business analytics, computer-aided decision making, human-computer interaction, and computer-mediated communication.

Stay Connected with Us

Email us at with any inquiries or questions.

Some ways to stay connected with the NSDC community: