Summary
I am an accomplished statistician with a PhD in Statistics and extensive experience in academia and research. My expertise lies in developing and applying advanced statistical methods, supported by a strong record of publications in reputable journals. Proficient in Python and R, I bring a deep understanding of programming for large complex epidemiological datasets and modeling. Additionally, I have significant experience in teaching, mentoring, and supervising students. I am eager to leverage my expertise in statistical analysis and data science to drive innovative research and advancements in statistics and artificial intelligence.
Education
PhD in Statistics
University of Kent-UK (2011-2015)
Thesis: Statistical Methods For Detecting Genetic Risk Factors of a Disease with Applications to Genome-Wide Association Studies.
MSc in Mathematics
University of Baghdad-IRAQ (1998-2001)
Thesis: Comparing Methods for Detecting Treatment Effects in Repeated Measures Designs.
BSc in Mathematics
University of Thiqar-IRAQ (1994-1998)
Programming Skills
Python, R, SQL, Unix/Linux, Git, Pytest, AWS, GitHub, LLM, NLP, Scikit-Learn, Transformers, Tensorflow, PyTorch, Bash, Keras, Gemma, Generative AI, NLTK, Jupyter Notebook, HTML, OpenAI, Open Source.
Experience
Director, GlobalStat Intelligence Solutions Ltd (2025-now)
- Director of the company and research leader.
Lecturer, Department of Statistics (2016-2024)
College of Administration and Economics, University of Baghdad
- Conducted lectures and supervised projects for Master's students.
- Taught Numerical Analysis, Matrices, and Linear Algebra.
- Led the Performance Assurance Unit (Quality Assurance Unit) at the college.
- Oversaw student surveys on teaching abilities.
- Developed a novel assessment approach during the COVID-19 pandemic.
Freelance Data Analyst (2001-2010)
Baghdad, Iraq
Research Projects
- Non-Parametric Regression for Interval Data (2023-2024)
- Inferential Methods of Constrained Regression (2021-2023)
- Mixture of Rayleigh Distribution (2020-2022)
- Mixture of Regression Model (2019-2021)
- Logistic Regression for Breast Cancer (2018-2019)
Data Analysis Skills
Statistical Methods
- Bayesian Inference and Estimation Techniques
- Regression Analysis (Linear, Parametric, Non-Parametric, Logistic, Cox)
- Clinical trial studies, Cross-Sectional Studies, GWAS
AI and Machine Learning
- Application of machine learning algorithms
- Integration of deep learning methods using TensorFlow and PyTorch
Training / Courses
- Advanced Courses at London Taught Courses Centre (2011-2013)
- High-Throughput Sequencing in Disease Studies – London School of Hygiene & Tropical Medicine (2013)
- Generative AI Course – Kaggle (2024)
Awards
Scholarship from the Iraqi Ministry of Higher Education and Scientific Research to pursue a PhD in Statistics in the UK (2010-2015) - Valued at $160,000
Conferences & Meetings
- 15th International Conference on Statistical Applications (ICSA-2020), Erbil, Iraq (Talk given)
- Young Statistician Meeting, Imperial College, London (2013) (Talk given)
Journal Reviewing
Iraqi Journal of Science, Journal of Physics A, Physica Scripta
Innovative Remote Assessment
Developed a novel approach for conducting remote, varied assessments during the COVID-19 pandemic.
Details