Abdollah Hozhabrnia
Calgary,AB
Summary
Results-driven Biostatistician with over a decade of experience in survival analysis, predictive analytics, and time-dependent ROC modeling for chronic disease research. Expertise in programming languages and statistical software including Python, R, SAS, STATA, and SPSS, with hands-on experience in longitudinal cohort datasets to enhance early risk detection for cardiovascular disease. Proven ability to translate complex statistical findings into actionable insights for clinical teams, driving evidence-based decision-making and improving patient outcomes.
Overview
6
6
years of professional experience
Work History
Deep Learning Health Classification Project
University of Calgary
01.2023
- Designed neural networks to classify high-risk vs. low-risk subjects
- Applied train/validation splits to prevent overfitting
- Evaluated using ROC, AUC, sensitivity, and specificity metrics
Biostatistics Researcher
University of Calgary
01.2023 - 01.2024
- Evaluated disease risk using Cox proportional hazard models for analysis.
- Benchmarked early predictors with time-dependent ROC analysis for improved accuracy.
- Developed ML health classification models in Keras and Python, enhancing AUC performance.
- Generated publication-quality reports with a fully reproducible R coding workflow.
Biostatistics & Epidemiology Researcher
Yazd Healthy Heart Cohort (YHHC)
01.2018 - 01.2021
- Improved cardiovascular outcome analysis through multivariable modeling of 10-year data.
- Developed obesity-based cut-points to enhance population screening initiatives.
- Utilized R and SAS for accurate CVD risk prediction and confounder management.
- Generated statistical outputs for impactful publications and conference presentations.
Education
MSc - Statistics
University of Calgary
Calgary, Canada01.2024
MSc - Biostatistics
Shahid Sadoughi University of Medical Sciences
Iran01.2020
Skills
- Biostatistical Methods: Cox survival models, GLM, longitudinal analysis, hypothesis testing
- Predictive Modeling: Time-dependent ROC, logistic/ordinal regression, classification
- Machine Learning: Random Forest, SVM, Neural Networks (Keras/Python), cross-validation, AUC optimization
- Programming & Tools: Python, R, SAS, SPSS, STATA, Excel advanced analytics
- Data Strengths: Data cleaning, reproducible code, modeling pipelines, advanced visualization
- Domain Expertise: Cardiovascular epidemiology, chronic disease outcomes, health informatics
Languages
English
Full Professional
Persian
Native or Bilingual
Timeline
Deep Learning Health Classification Project
University of Calgary
01.2023
Biostatistics Researcher
University of Calgary
01.2023 - 01.2024
Biostatistics & Epidemiology Researcher
Yazd Healthy Heart Cohort (YHHC)
01.2018 - 01.2021
MSc - Biostatistics
Shahid Sadoughi University of Medical Sciences
MSc - Statistics
University of Calgary
Section name
Eligible to work in Canada