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.
- STA 4164 – Statistical Methods III
- STA 7722 – Statistical Learning Theory