Kyle Brauner

Mentor: Dr. Panos Pardalos
College of Engineering
"I got involved with research to not only strengthen my background as an engineering student, but also to dive deeper into the specific topics of my major that I enjoy the most. I have been able to apply many of the tools and knowledge that I gained through my undergraduate curriculum to a real world project that will produce some very interesting results."


Industrial and Systems Engineering


Sales Engineering

Research Interests

  • Statistics
  • Machine Learning
  • Data Analysis

Academic Awards

  • University Scholars Program 2016


  • Sigma Nu Fraternity


  • N/A

Hobbies and Interests

  • Basketball
  • Programming
  • Mathematics
  • Statistics

Research Description

Statistical and Machine Learning Analysis of Facebook's Social Network
At the Center for Applied Optimization (CAO), we are conducting statistical and machine learning analysis of Facebook's network of "Likes". By looking at a large number of users and the things that they like on Facebook (i.e. websites, companies, sports teams, etc.) as well as the users' biographical information (e.g. gender, date of birth, marital status etc.), we can develop a model that can a) predict certain biographical characteristics based on the things that a user likes and/or b) predict what a user will like based on their given biographical information. This projects combines elements of programming, statistics, massive data sets, data structures, and machine learning.