Rate My Professor Danel Draguljic

Danel Draguljic serves as Associate Professor of Mathematics, Statistics, and Data Science in the Department of Mathematics at Franklin & Marshall College in Lancaster, Pennsylvania, a position he has held since 2018, following his tenure as Assistant Professor there from 2012 to 2018. Before entering academia full-time, he worked as Statistician III at Battelle Memorial Institute in Columbus, Ohio, from 2010 to 2012. Draguljic obtained his Ph.D. in Statistics from The Ohio State University in 2010. He also holds a B.A. in Philosophy and a B.S. in Mathematics, both from Millersville University in 2003. In recognition of his scholarly work, he received the 2015 Youden Award for the best expository paper published in the 2014 issues of Technometrics.

Draguljic has made significant contributions to statistical methodology through his publications and co-authorship of the textbook Design and Analysis of Experiments, published by Springer in 2017 with Angela Dean and Daniel Voss. Key publications include Screening strategies in the presence of interactions in Technometrics (2014), which earned the Youden Award; Noncollapsing Space-Filling Designs for Bounded Nonrectangular Regions also in Technometrics (2012); Optimizing Thin Film Tool Coatings Using a Finite Element Computer Simulator in Quality Engineering (2015); and Automated evolutionary optimization of ion channel conductances and kinetics in models of young and aged rhesus monkey pyramidal neurons in Journal of Computational Neuroscience (2016). More recent works encompass collaborations in interdisciplinary fields, such as Drought response strategies of vascular epiphytes in isolated pasture trees in a Costa Rican tropical montane landscape in American Journal of Botany (2024), Network models predict that pyramidal neuron hyperexcitability and synapse loss in the dlPFC lead to age-related spatial working memory impairment in rhesus monkeys in Frontiers in Computational Neuroscience (2020), and Variation in the resilience of cloud forest vascular epiphytes to severe drought in New Phytologist (2018). His research interests include design of screening and computer experiments. At Franklin & Marshall College, he teaches courses such as Introduction to Statistical Modeling (MAT 215), Probability and Statistics I and II (MAT 216, 316), Design and Analysis of Experiments (MAT 416), Introduction to Statistical Learning (MAT 370), Time Series (MAT 375), and Neural Networks (MAT 470).