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Ihunna Amugo

@ihunnaamugo

Health data scientist blending AI/ML, epidemiology, and health informatics for equity-focused outcomes.

United States
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What I'm looking for

I seek roles applying AI/ML to health equity and clinical data — building reproducible models, dashboards, and EHR-integrated solutions in collaborative, research-driven teams.

I am a health data scientist and informaticist with graduate training in health administration and health informatics, focused on applying AI/ML to advance digital health equity and public health practice.

I have hands-on experience querying and modeling large EHR datasets (350K+ records) in the N3C Enclave, building predictive models (logistic regression, SMOTE, random forest), developing CNNs for medical imaging, and deploying reproducible workflows and dashboards via Streamlit, GitHub, and cloud platforms.

My background spans public health practice, EHR coordination, environmental microbiology research, and crisis counseling; I combine technical skills (Python, SQL, R, SAS, TensorFlow, Tableau, Epic) with policy and clinical research training to deliver scalable, publication-quality solutions that inform policy and improve care access.

Experience

Work history, roles, and key accomplishments

NP

Data Analyst Trainee

NIH NCATS AIM-AHEAD Program

Jan 2024 - Sep 2024 (8 months)

Selected for an NIH-funded traineeship to query and model 350K+ de-identified EHRs from the N3C Data Enclave to study cardiovascular mortality by race, sex, and vaccine type; built predictive models and delivered Streamlit dashboards and reproducible GitHub/Jupyter workflows.

UP

AI/ML Fellow

UT Austin AI/ML Certificate Program

Feb 2023 - Aug 2023 (6 months)

Developed a Medicare readmission risk classifier, a CNN for oral lesion detection, and an NLP topic modeler; deployed projects on Google Cloud while collaborating in Git-based teams.

GD

Disease Investigator

Gloucester County Health Department

Jun 2020 - Apr 2022 (1 year 10 months)

Managed 26K+ case investigations for COVID-19, STIs, and monkeypox and automated surveillance workflows in R and SQL, reducing reporting lag by 75%.

Education

Degrees, certifications, and relevant coursework

HU

Harvard University

Certificate, Clinical Research

2024 - 2025

Completed an intensive clinical research training certificate focusing on clinical trial design, biostatistics, and regulatory science applied to clinical and AI research.

University of Texas at Austin logoUA

University of Texas at Austin

Certificate, Artificial Intelligence / Machine Learning

2023 - 2023

Completed an AI/ML certificate program emphasizing applied machine learning projects including CNNs and NLP for health domains.

Saint Joseph's University logoSU

Saint Joseph's University

Master of Health Administration; Master of Science in Health Informatics, Health Administration & Health Informatics

2020 - 2022

Activities and societies: Core coursework and projects involving EHR systems, data analytics, and health policy.

Completed dual graduate programs in Health Administration and Health Informatics with coursework in healthcare law, biostatistics, health informatics, project management, data analytics, health policy, and EHR systems.

Saint Joseph's University logoSU

Saint Joseph's University

Bachelor of Science; Bachelor of Science, Biology & Interdisciplinary Health Services

Earned dual Bachelor of Science degrees in Biology and Interdisciplinary Health Services with foundational coursework supporting public health and biomedical research.

Saint Joseph's University logoSU

Saint Joseph's University

Bachelor of Science (Biology); Bachelor of Science (Interdisciplinary Health Services), Biology; Interdisciplinary Health Services

Activities and societies: Undergraduate research and public health–related coursework.

Earned Bachelor of Science degrees in Biology and Interdisciplinary Health Services with foundational training relevant to public health and research.

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