Join us in welcoming Anthony Vicenti to the University of Arizona Superfund Research Center (UA SRC) Data Management and Analysis Core (DMAC). Anthony Vicenti is joining the DMAC as a Statistician and Computational Biologist.
Vicenti received his undergraduate degree in Mathematics with a minor in Electrical and Computer Engineering at the University of Arizona. He then proceeded to join the Statistics Graduate Interdisciplinary Program for a master’s degree. The interdisciplinary nature of the degree gave him experience analyzing a wide range of datasets including genomic, healthcare, business, and clinical.
Throughout his education, he developed a strong programming foundation with experience in C/C++, Java, MATLAB, Python, R, and SAS. Vicenti has implemented several different analytical techniques, including logistic/linear regressions, mixed models, decision trees, and neural networks. He also completed undergraduate research in an evolutionary biology lab analyzing genomic data where he helped investigate mutation and polymorphism rates utilizing programs such as BLAST, MUSCLE, RAxML, and PAML. Finally, his master’s thesis involved comparing the bias and power of different methods used to analyze crossover designed experiments.