Rate My Professor Amei Amei

Amei's research focuses on statistical genetics, population genetics, and stochastic modeling, utilizing probability theory and statistical methodologies to address challenges in mathematical biology. Her work involves developing Poisson random field models applied to aligned DNA sequences for inferring genetic parameters such as mutation rates, selection coefficients, and species divergence times, with extensions to cancer detection. She conducts genome-wide association studies on complex diseases including hypertension, schizophrenia, and Alzheimer’s disease, emphasizing time-varying genetic effects in longitudinal traits, Bayesian variable selection, gene-environment interactions, and large-scale sequence-based analyses. Key publications include “Detecting time‐varying genetic effects in Alzheimer’s disease using a longitudinal genome‐wide association studies model” (2024, Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring), “Retrospective varying coefficient association analysis of longitudinal binary traits: application to the identification of genetic loci associated with hypertension” (2024, The Annals of Applied Statistics), “SDePER: a hybrid machine learning and regression method for cell-type deconvolution of spatial barcoding-based transcriptomic data” (2024, Genome Biology), “Stochastic generalized functional linear models for gene-based association analysis of binary traits in longitudinal studies” (2024, Statistics and Its Interface), and “Urban monitoring of antimicrobial resistance during a COVID-19 surge through wastewater surveillance” (2022, Science of The Total Environment). In 2013, she received a UNLV Individual Investigator award for $14,000 on a Time-Dependent Random Effects Poisson Random Field Model for Cancer Gene Detection. Amei serves as Faculty Liaison for the UNLV ASA Student Chapter.