Alexander Mantzaris is an Assistant Professor for the Statistics & Data Science Department. His research career began with investigating Bayesian methodologies which could improve the prediction accuracy in detecting horizontal gene transfer in bacteria DNA sequence alignments (2006-2010). The first research post he held involved applying machine learning techniques in a project devoted to studying the sonar behavior in bats to uncover the mechanisms in which they utilize it so effectively. Subsequently and thereon afterwards the work that has focused the majority of the research he is involved with is in the area of network science, big data, ad hoc network analysis, data analytics and social behavior online. He has also been a reviewer board member for the journal, Information since early 2020.


Spring 2020

  • STA 6938 – Advanced Data Analysis Methodology w/ Business
  • STA 7722 – Statistical Learning Theory

Fall 2019

  • STA 5104 – Adv Computer Processing of Stat Data
  • STA 7935 – Current Topics in Big Data Analytics