Jean Theodore

Computational Pathology Scientist, Biomedical Data Scientist, and Machine Learning Researcher with experience in computational pathology, healthcare analytics, biostatistics, precision medicine, artificial intelligence, and computer-aided drug discovery. Experienced in developing predictive models, analyzing clinical and molecular datasets, building interactive RShiny applications, and applying machine learning methods to biomedical research. Skilled in translating complex biomedical data into actionable insights for research, clinical, and pharmaceutical applications.

AI & Computational Pathology Research Scientist at NIH AIM-AHEAD / Meharry Medical College (2023-10 – 2024-07)

• Developed machine learning workflows for prostate cancer risk prediction using whole-slide histopathology images.
• Applied OpenSlide, HistoLab, StarDist, and TIA Toolbox for image analysis.
• Implemented image preprocessing, segmentation, feature extraction, and model evaluation pipelines.
• Collaborated with NIH-funded multidisciplinary research teams focused on healthcare equity and AI-driven research.

Biomedical Data Science Researcher at Meharry Medical College (2023 – Present)

• Developed QSAR-based predictive models for antimicrobial compound discovery.
• Curated molecular bioactivity datasets from ChEMBL and PubChem using Python and RDKit.
• Applied Lipinski's Rule of Five and cheminformatics workflows to evaluate candidate compounds.
• Built automated pipelines for molecular descriptor generation and predictive modeling.

Biostatistics Intern at Novartis (2025-06 – 2025-08)

• Developed RShiny applications for clinical statistical reporting and visualization.
• Applied ANCOVA, logistic regression, and Win Ratio methodologies to treatment-outcome evaluation.
• Supported Medical Affairs Biostatistics & Data Science teams in evidence generation.

Research Scholar at Johns Hopkins Bloomberg School of Public Health (2021-08 – 2022-02)

• Performed statistical analyses of NIH and census-derived datasets.
• Investigated socioeconomic drivers of lung cancer incidence and mortality.
• Conducted predictive modeling, data visualization, and research reporting in R.

ELA Teacher at Achievement First Crown Heights Middle School (2024-08 – Present)

• Applied data-driven instructional strategies and stakeholder communication skills.
• Led classroom initiatives requiring organization, leadership, and presentation expertise.

Master of Science (M.S.) in Biomedical Data Science – Precision Medicine Track – Meharry Medical College (2023 – 2026)

Bachelor of Science (B.S.) in Biomedical Informatics – CUNY New York City College of Technology (2017 – 2022)