Embedded Files
Hello, I am Morteza Hajihosseini, a biostatistician and population health data scientist with extensive experience leading applied research at the intersection of epidemiology, biostatistics, and data science. My work focuses on transforming complex, large-scale health data into rigorous, interpretable evidence that informs clinical research, health policy, and data-driven decision-making. My expertise spans the design and analysis of observational studies, clinical and population-based research, and advanced statistical modeling. I routinely apply modern analytical approaches,including machine learning, longitudinal and spatial modeling, and high-dimensional data analysis, to address real-world questions in public health and biomedical research.
Beyond technical contributions, I bring strong leadership and collaborative experience, having led interdisciplinary teams, mentored trainees and early-career researchers, and contributed to the development of reproducible analytical pipelines, research protocols, and training initiatives. I am particularly motivated by applied, translational work that bridges methodology and practice where methodological rigor, transparency, and thoughtful leadership come together to generate evidence that can be trusted, implemented, and scaled.
Research Interests
Research Interests
Pediatric Health and Neurodevelopment
Lifestyle, Diet, and Cancer Epidemiology
Spatial Single-Cell Analysis and Tumor Heterogeneity
AI-Driven Risk Stratification
Precision Prevention Models
Education
Education
Postdoctoral Fellow– Stanford University School of Medicine, Department of Urology (2022 –2023)
Under supervision of Dr. Benjamin I. Chung and Dr. Marvin Langston
Project: Impact of adherence to the international lifestyle and diet guidelines on renal cancer risk using population-level data.
Focused on population-level data in The Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial.
PhD in Epidemiology – University of Alberta, School of Public Health (2017–2022)
Under supervision of Dr. Irina Dinu
Dissertation: Updating local birth weight percentiles and statistical methods motivated by challenges in microbiome data analysis.
MSc in Biostatistics – Hamadan University of Medical Science, School of Public Health (2013–2015)
Under supervision of Dr. Javad Faradmal
Dissertation: Survival analysis of breast cancer patients after surgery with an intermediate event.
BS in Statistics – University of Birjand, Department of Statistics (2008–2013)
Work Experience
Work Experience
Adjunct Professor, School of Public Health, University of Alberta (July 2024 – Present)
Collaborate with trainees and faculty on research
Serve on student thesis committees and as a co-supervisor
Participate in academic and community engagement activities
Biostatistical Data Scientist, Applied Pharmaceutical Innovation (API) (May 2024 – Feb 2026)
Lead statistical modeling, statistical analysis plan writing, and clinical protocol review.
Bayesian simulation for clinical trials, sample size calculations.
Random assignment table generation.
Develop R Shiny platforms for biomarker discovery and clinical bioinformatics pipelines.
Provide mentorship, statistical consulting, and SOP development for multidisciplinary projects.
Biostatistician, Applied Pharmaceutical Innovation (API) (Feb 2021 – May 2024)
Design, analyze, implement, and report findings on targeted statistical research studies.
Work with investigators to formalize analysis plans and reporting specifications.
Advice on the choice of statistical analysis strategies, reliability of measurements and identifiability of models, and interpretation and presentation of statistical results.
Assist in preparing clinical trial documents and reports, protocols, investigator brochures, scientific abstracts, peer-reviewed manuscripts, and response to requests from regulatory agencies, local Institutional Review Board, and other health authorities.
Statistical Consultant, WHO European Office for the Prevention and Control of NCDs (Oct 2021 – Aug 2023)
Conducted statistical analysis and designed R Shiny applications for multiple projects
Developed R packages for the Global Physical Activity Questionnaire and WHO Cardiovascular Disease Risk Assessment Tool
Research Assistant, School of Public Health, University of Alberta (Sep 2017 – Jan 2021)
Conducted interdisciplinary research in cardiology, pediatrics, and epidemiology
Collaboration with:
The Canadian VIGOUR Centre (CVC), Edmonton, AB
WHO European Office for the Prevention and Control of NCDs (NCD Office)
Applied Pharmaceutical Innovation (API), Edmonton, Alberta, Canada
Public Health Dynamics Laboratory (PHDL), University of Pittsburgh
Stollery Children’s Hospital, Edmonton, AB
Cardiology-Department of Medicine, University of Alberta, Edmonton, AB
Glenrosa Rehabilitation Hospital, Edmonton, Alberta, Canada
Department of Ophthalmology and Visual Sciences, University of Alberta, Edmonton, AB, Canada
Page updated
Google Sites
Report abuse