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CMDA Fall Data Competition

Compete in teams of 2-3 and use your statistical and analytical knowledge to get hands-on experience with answering interesting questions about a dataset in this local competition! 

Click here for more information.

Fall 2017 Winners

Beginner track:

1st - Porch: Wyatt Lansford, Lazarus Arnau

2nd - 325 Till We Die: Arianna Krinos, Aimee Maurais

3rd - Junior Jamboree: Patrick Seise, Alexander Williams, Mykenzi Webb

Runner up - ForHire: Brendan McCloskey, Eric Fu, Kali Liang

Advanced track:

1st - Nuisance Parameters: Sean Pili, Cate Renner, Josh Fowler

2nd - Alternative Data: Harshitha Narayanan, Zorian Thornton, Tulika Chaudhary

3rd - Azured Victory: Bryan Kaperick, Peter Steele, Ariana Herbst

Runner up - 500: Oliver Zufall, Quan Pham, Domenic Ricciardi


Congratulations and thank you to all participants! Get ready for the 2018 Fall Competition!

Hosted by Computational Modeling and Data Analysis (CMDA) Club at Virginia Tech

Sponsored by General Dynamics Mission Systems

In Collaboration with Computer Science

Monday, October 30 at 6:30pm in NCB 260  Receive dataset, materials, and instructions

Monday, November 6 at 5:30pm in NCB 160  Present findings and analyses

Additional Information

  • Teams of 2-3 undergraduate students. Open to all majors and skill levels. Signup as a team or individually!
  • Beginner and Advanced tracks for both less and more experienced students. All team members must decide on a track. Advanced students cannot be on a beginner track team.
  • Create a trifold and 5-minute PowerPoint presentation with findings, visualizations, and analyses.
  • Win cash prizes!
  • Food and beverage will be provided, but housing will not.

Questions or concerns? Email Rachel Szabo at