Andrew Hoegh

Dr. Andrew Hoegh is an esteemed Associate Professor in the Department of Mathematical Sciences at Montana State University. With a keen focus on applied Bayesian statistics, Dr. Hoegh has carved a niche in the realm of data analysis, particularly in handling complex data structures. His research predominantly spans environmental, ecological, and sports analytics, where he applies Bayesian computation to derive meaningful insights. Throughout his career, Dr. Hoegh has collaborated with a diverse group of scientists, leading to significant contributions in the field. His work has been published in various esteemed journals, with notable papers such as "The Integrated Nested Laplace Approximation Applied to Spatial Log-Gaussian Cox Process Models" and "Estimation of Covid-19 Prevalence Dynamics from Pooled Data." These publications underscore his expertise in applying statistical methods to real-world problems. Dr. Hoegh's contributions to the field have not gone unnoticed. He has been honored with several awards, including the prestigious Kopriva Faculty Lectureship, which recognizes his outstanding research and teaching. Additionally, he has benefited from the Library Open Access Author Fund, supporting his commitment to making research accessible to a broader audience. Beyond his research, Dr. Hoegh is actively involved in the academic community. He serves as an Editorial Review Board Member for The American Statistician, where he helps shape the direction of statistical research. His role as a reviewer for various journals further highlights his dedication to maintaining high standards in academic publishing. Dr. Hoegh's passion for statistics extends to his teaching, where he inspires the next generation of statisticians. His courses are known for their rigor and relevance, equipping students with the skills needed to tackle complex data challenges. Through his teaching and research, Dr. Hoegh continues to make a significant impact in the field of statistics and beyond.