Dr. Fadhaa Ali

Dr. Fadhaa Ali is a distinguished statistician, statistical geneticist, and epidemiologist with extensive experience in academia and research. He holds a PhD in Statistics from the University of Kent, UK, where his research focused on statistical methods for detecting genetic risk factors of diseases, particularly in genome-wide association studies (GWAS). His expertise spans advanced statistical modeling, epidemiological studies, and high-dimensional data analysis, making him a valuable contributor to the fields of statistics, artificial intelligence, and healthcare analytics. With a strong academic background, Dr. Ali has dedicated over a decade to teaching and mentoring students. As a lecturer in the Department of Statistics at the University of Baghdad, he has supervised multiple research projects and led courses in numerical analysis, matrices, and linear algebra. His leadership in performance assurance and quality control has helped shape educational strategies, including the development of innovative assessment approaches during the COVID-19 pandemic. Beyond academia, he has contributed significantly to scientific literature, publishing research in reputable journals on topics such as Bayesian inference, constrained regression models, and mixture distributions. Dr. Ali’s expertise extends into programming and data science, where he is proficient in Python, R, SQL, and machine learning frameworks such as TensorFlow and PyTorch. He has applied these skills to develop predictive models, statistical algorithms, and AI-driven data analysis solutions for high-dimensional genomic and biomarker datasets. His research interests include Bayesian methods, epidemiological modeling, clinical trials, and multi-omics data integration. Beyond his contributions to academia and research, Dr. Ali has played an active role in the scientific community. He has presented at international conferences, participated in high-dimensional data analysis workshops, and reviewed numerous research papers for esteemed journals. His commitment to statistical innovation is evident in his ability to bridge theoretical statistics with practical applications in epidemiology, public health, and AI-driven analytics. Dr. Ali continues to explore new frontiers in statistical genetics and epidemiology, leveraging his deep understanding of mathematical modeling, programming, and machine learning to drive advancements in data-driven healthcare solutions. His multidisciplinary approach and passion for research make him an influential figure in the field of statistics and its applications in real-world problem-solving.

For more information, see https://fadhaa.github.io.