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Tendai Gwanzura

@tendaigwanzura1

Epidemiologist at Florida International University designing real-world evidence studies with linked health data and reproducible analysis.

United States

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What I'm looking for

I'm interested in applying my quantitative foundation to clinical validation and software-performance studies, including SaMD research.

At Florida International University, I lead observational epidemiology and real-world evidence studies using linked surveillance, laboratory, vital-record, and SDOH data. I develop protocols and statistical analysis plans, then analyze cohorts and assess subgroup findings and sensitivity to study assumptions.

My work includes HIV outcomes research, COVID-19 analyses, and contributions to 14 peer-reviewed publications. I also built a TensorFlow brain-tumor image-classification project and developed Python workflows for NLP and policy-document classification; I'm interested in clinical validation and software-performance studies, including SaMD research.

Experience

Work history, roles, and key accomplishments

Current

Doctoral Researcher & Graduate Assistant

Current

Florida International University

Aug 2021 - Present (5 years 1 month)

Lead end-to-end design and execution of observational epidemiology and real-world evidence studies using statewide linked surveillance, laboratory, vital-record, and SDOH data. Develop study protocols and statistical analysis plans, conduct cohort construction, data management, and statistical analysis in SAS, SQL, and R.

R SAS SQL Python Study Design Statistical Analysis Cohort Construction Data Management ICD 10 Survival Analysis Bayesian Networks Multi Level Models Propensity Lasso Reproducible Workflows

Computational Social Science Researcher

Claremont Graduate University

Jan 2020 - Dec 2022 (2 years 11 months)

Co-designed and published an NLP study applying LDA topic modeling in Python to 96,000 Twitter posts and 1,000 Reddit posts. Developed reproducible preprocessing, topic-modeling, validation, and scientific-interpretation workflows for large-scale unstructured data.

Python NLP Topic modeling LDA Reproducible Workflows

Quantitative Modeling Fellow

Correlation One

Jun 2022 - Aug 2022 (2 months)

Led analysis of ~60,000 NHANES participants using Python, LASSO regression, feature engineering, and model evaluation. Translated quantitative results into clear findings for mixed technical and nontechnical audiences.

Python Lasso Feature Engineering Model Evaluation NHANES

Health Program Analyst

Los Angeles County Department of Public Health

Nov 2020 - Jul 2021 (8 months)

Built and maintained real-time epidemiologic surveillance dashboards in SAS across 20+ congregate facilities and generated 200+ vaccination line lists, epi curves, and outbreak summaries. Translated surveillance analyses into concise tables, figures, reports, and recommendations for county leadership and clinical teams.

SAS Data Visualization Surveillance Epidemiology Reporting

Medical Laboratory Scientist

CIMAS Medical Labs

Dec 2014 - Apr 2018 (3 years 4 months)

Processed 120+ clinical specimens daily across microbiology, immunology, hematology, and biochemistry in an ISO-accredited hospital-linked laboratory. Led ISO accreditation audits, developed SOPs and quality-control documentation, and trained multidisciplinary staff on regulatory compliance and laboratory quality systems.

Laboratory Testing Quality Control Accreditation SOP Development Training

Education

Degrees, certifications, and relevant coursework

Florida International University

Doctor of Philosophy, Public Health

PhD candidate in Public Health with a focus on Epidemiology, expected to complete in December 2026. Dissertation on COVID-19 incidence, mortality, and health disparities among people with HIV in Florida.