Logan Delgado is a Senior Analyst with Treliant who specializes in statistical analysis and use of coding in programming. He has several years of research experience in academia, where he designed and implemented studies examining human behavior and psyche. Prior to joining Treliant, as part of his master’s thesis, Logan was developing a machine learning model for predicting the manifestation of cognitive rumination.
Logan most recently worked as a graduate research assistant for the College of Education and College of Mathematics and Science at Georgia Southern University. Since working for Treliant, Logan has worked on regression modeling in discrimination analyses.
Logan received his BS in Psychology from Texas A&M University in 2021 and completed the first year of his MS in Experimental Psychology at Georgia Southern University.