معرفی
Fazil Baksh is a Lecturer in the Department of Mathematics and Statistics at the University of Reading, part of the School of Mathematical, Physical and Computational Sciences. He holds key administrative roles including School Director of WIDE, PhD Coordinator for Statistics, and DStat Admissions/Programme Director. His research focuses on statistical methodologies in genetics, bioinformatics, and medical statistics, with emphasis on genome-wide association studies, gene-environment interactions, and Bayesian modeling of biological systems.
Teaching responsibilities include advanced statistical courses such as Methods of Machine Learning (ST3MML/ST4MML), Mathematics and Statistics for Data Science (CSMMS), and Advanced Statistical Modelling (ST3ASM). His work has addressed critical areas like snakebite epidemiology, psychiatric treatment efficacy, and genomic sequence analysis, with notable contributions to statistical bioinformatics and public health research.
Research affiliations include the university’s Applied Statistics group. His methodological innovations span statistical genetics (e.g., efficient score tests for association studies) and healthcare economics (e.g., cost analyses of snakebite treatments). While no formal awards are listed, his publications reflect impactful contributions to both theoretical and applied statistical research.
Advising and grant activities remain unspecified, though his interdisciplinary teaching and research suggest active involvement in training the next generation of statisticians and data scientists.
