Data Science Intern @ Battelle May 2025 - Aug 2025

As a Data Science Intern at Battelle, Under the CBRNE department specifically the Hazard Modelling team I Contributed to the design of a custom set data structure implemented using Numpy and Cupy.

Wrote Arrange-Act-Assert unit tests with random inputs using the hypothesis testing library.

Benchmarked performance of the set data structure and created analysis poster-presentation of the results.

Contributed to a large-scale disease spread simulation model to analyze outbreak dynamics and agricultural impacts across 48 U.S. states, enabling data-driven policy and mitigation strategies.

Engineered a computationally efficient approximation algorithm for a complex plume dispersion model, significantly improving runtime without compromising accuracy.

Implemented comprehensive end-to-end unit testing framework, ensuring model reliability, reproducibility, and code integrity throughout the development life-cycle.

Leveraged Matplotlib, Seaborn, and Pandas to produce clear, actionable visualizations that informed feature engineering and model tuning decisions during exploratory data analysis.

Research Assistant @ MINDS Lab Sep 2024-Present

Developed machine learning models achieving 95% accuracy in predicting risk factors for coronary artery disease and type 2 diabetes.

Conducted exploratory data analysis (EDA) with NumPy and Pandas, refining large datasets by eliminating redundant features and extracting actionable insights.

Created data-driven visualizations (heatmaps, statistical plots) to analyze socioeconomic and geographic factors influencing health disparities.

Created a real-time health monitoring dashboard utilizing Next.js and Tailwind CSS.

Implemented single page web application from a mock-up design document.

Secured authentication routes with Fast-API and JWT-tokens to ensure user privacy.

Teaching assistant @Morgan State COSC 111 Jan 2025-Present

As a Teaching Assistant for an introductory computer science course, I helped students understand and apply the fundamental concepts of programming and computational thinking.

I provided one-on-one support during office hours, answering questions, clarifying course material, and assisting with coding assignments.

My role also involved guiding students through debugging and problem-solving processes, fostering a deeper understanding of core programming principles.

Through this experience, I developed strong communication and mentoring skills, while also gaining insight into common challenges faced by beginners in computer science.

Publications under review

Chukwulenyeudo Uwaeme, Oluwatobi Olajide, Michael Mosuro, Chukwuemeka Obasi, Chelsea Minard, Iyinoluwa Ayodele, Jamell Dacon. “A Smart Wearable Device for Assisted Geriatric Monitoring in Elders”, 2025. (Under Review)

Jamell Dacon, Chelsea Minard, Chukwuemeka Obasi, Michael Mosuro, Iyinoluwa Ayodele, Oluwasegun Soji-John, Oluwatobi Olajide, Chukwulenyeudo Uwaeme. “Manifold Learning for Negative Sample-Based Cohort Discovery and Risk Stratification in Healthcare Analytics”, 2025. (Under Review)

Jamell Dacon, Michael Mosuro Oluwatobi Olajide, Mikayla Brown, Iyinoluwa Ayodele, Nyah Nunnally, Obaloluwa Wojuade, Okikioluwa Popoola. “Learning Representations for Improved Type 2 Diabetes Prediction via Feature Selection and Knowledge Graph Completion”, 2025. (Under Review)

Jamell Dacon, Chukwulenyeudo Uwaeme, Chukwuemeka Obasi, Oluwasegun Soji-John, Oluwatobi Olajide, Iyinoluwa Ayodele, Oluwajomiloju King, Chelsea Minard, Michael Mosuro, Marissa Savage, Obaloluwa Wojuade, Nicholaus Somerville, Mikayla Brown, Abdulai Thomas Hallowell. "Optimizing Insulin Dosing for Type 1 Diabetes with Thyroid Dysfunction Using Q-Learning: A Personalized Approach to Chronic Disease Management"(Under Review)

Publications accepted

Mikayla Brown, Oluwatobi Olajide, Michael Mosuro, Okikioluwa Popoola, Iyinoluwa Ayodele, Nyah Nunnally, Obaloluwa Wojuade, Oluwatomiwa Baruwa, Nicholaus Somerville - Edordu, Abimbola Ologurun, Jamell Dacon. “Towards Data-Driven Diabetes Care: Identifying Key Biomarkers and Risk Factors for Type 2 Diabetes through AI Models”. Society of Epidemiologic Research 2025 Mid-Year Meeting, 2025. (SER Meeting 2025)

Chelsea Minard, Chukwuemeka Obasi, Michael Mosuro, Iyinoluwa Ayodele, Oluwasegun Soji-John, Oluwatobi Olajide, Jamell Dacon. “Exploring Socioeconomic and Demographic Factors in Coronary Artery Disease: Using AI and Knowledge Graphs to Identify Healthcare Inequities”. Society of Epidemiologic Research 2025 Mid-Year Meeting, 2025. (SER Meeting 2025)