Rate My Professor Danel Draguljic

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).