University Libraries at Virginia Tech faculty members Anne M. Brown and Jonathan Briganti challenged their undergraduate data students in the library’s DataBridge program and the Bevan & Brown Lab to jump in and create tools and look for patterns and trends in COVID-19 research data using machine learning and molecular modeling.
When the COVID-19 pandemic prompted the American Statistical Association to cancel this year’s annual DataFest, it seemed like another hands-on opportunity that some Virginia Tech students would miss out on this spring. Then, Socially Determined, a data company founded by Virginia Tech alumni, stepped in to help.
Adapting the original conference — which included big-name presentations, small-group breakout sessions, and a student-led poster display of data science projects — required nimbleness, a willingness to adapt to rapidly changing conditions, and no small amount of teamwork.
Through the University Libraries' DataBridge program, undergraduate students like Spicer learn the skills and knowledge they need to help faculty and students with their research data. It also prepares them for graduate school or successful careers in data professions.
Sengupta, assistant professor of statistics in the College of Science and a faculty member at the Discovery Analytics Center, received a Research Project Grant to develop methods to analyze detailed information that spans multiple categories and can be more valuable in identifying an event than just checking off a category.
Ken Pomeroy has gone from running a bracket challenge in his dorm room to becoming a pioneer of charting all of basketball’s 353 Division I men’s teams with advanced statistics. Just prior to the new season tipping off, he visited Blacksburg to share insights from his work and journey.
Graduating College of Science seniors and research collaborators Aimee Maurais has been named the 2019 Outstanding Senior in the College of Science and Arianna Krinos has won the 2019 College of Science Senior Undergraduate Research Award.
The Virginia Tech College of Science and its Computational Modeling and Data Analytics Program recently hosted the inaugural Women in Data Science Blacksburg Conference to discuss the role of women in the growing field of data science and analytics.
Administered through the Discovery Analytics Center, the program trains students across disciplines in the latest methods in analyzing massive datasets to study key issues concerning urban populations.