Abou El-Makarim Aboueissa, PhD

Professor Aboueissa's training in theoretical statistics coupled with over 20 years of collaborations in the areas of public health, medicine, nursing, applied medical, pharmacology, and communications puts him at an extremely advantageous position as a researcher at the interface of interdisciplinary and translational research. The scope of Professor Aboueissa’s research interest is broad, drawing upon theoretical and applied statistics. Most of his recent work has focused on developing statistical inference techniques for estimating population parameters from incomplete data assuming that the distribution of an underlying population is normal or lognormal. Professor Aboueissa’s interdisciplinary research includes, but is not limited to: pharmacology, toxicology, nursing, applied medical, communications, and environmental sciences, which reflect his interest in applied statistics. Professor Aboueissa’s future research will focus on pure theory of statistics and applications. On the theory side, his aspiration is to search for better and more efficient statistical methods of estimations from censored and/or truncated sample data that are common in many experimental and observational research studies in the fields that are outside of mainstream statistics, such as environmental, biological, and biomedical sciences, epidemiology, engineering, toxicology, and pharmacology.