Research & Peer Review
Mississippi Academy of Sciences – Research Presentation
Alcorn State University | 2019–2020
- Presented research on Cosine Similarity and Citation Analysis at the Mississippi Academy of Sciences Annual Conference.
- Explored how cosine similarity can measure academic influence through citation networks and text embeddings.
- Published abstract included in the Journal of the Mississippi Academy of Sciences.
Research Assistant | Columbia University ISERP
Institute for Social and Economic Research and Policy (ISERP), 2021 – 2022
- Collaborated on the VacSafe–Africa project under the Institute for Social and Economic Research and Policy (ISERP).
- Developed interactive data visualizations and mapping dashboards for public-facing research outputs.
- Contributed to the preparation and publication of two manuscripts featured on the ISERP research page.
Peer Reviewer | MLCB 2025 (Machine Learning in Computational Biology)
Ongoing
- Reviewed submissions for MLCB 2025, focusing on interpretability, survival analysis, and generative modeling in computational biology.
Academic Projects at Columbia
Johnson & Johnson Capstone Project
Columbia University | 2022
- Predicted commercial insurance payments for surgical procedures using machine learning in collaboration with Johnson & Johnson.
- Applied advanced regression models and feature engineering to healthcare cost data for payment prediction.
Fake Job Detection Project (Applied Machine Learning)
Columbia University | 2022
- Developed a machine learning classifier to detect fraudulent job postings using natural language processing (NLP) and metadata features.
- Applied TF-IDF vectorization, feature selection, and ensemble models such as Random Forests and XGBoost for detection.
- Achieved high precision and recall while identifying subtle linguistic and structural cues of fake job listings.
US Equity Statistical Arbitrage Project
Independent Work | 2025
- Implemented trading strategies from the research paper “Statistical Arbitrage in the US Equity Market”.
- Developed and backtested a robust arbitrage model for exploiting market inefficiencies using Python.
Teaching & Academic Service
Mathematics Tutor / Teaching Assistant | Alcorn State University
2018–2021
- Served as a Mathematics Tutor and TA for three years, assisting undergraduates in algebra, calculus, and statistics courses.
- Helped improve student comprehension through one-on-one sessions and structured problem-solving exercises.
Competitions
Stellar Blockchain Hackathon
3rd Place | Gas Price Prediction Challenge
- Developed a gas price prediction model using XGBoost, LightGBM, and Gradient Boosting.
- Ranked top three globally for accuracy and feature interpretability.