Elexis Allen (She/Her)

Elexis Allen is a Computer Science Instructor at CodeCrew in Memphis, TN, with a strong background in biomedical engineering and data science. She integrates artificial intelligence, technology, and medical device knowledge into K–12 programming and software development curricula, designing health-centered and innovative learning experiences. Elexis created Healthy Bytes, a program that bridges computer science and physical therapy through hands-on applications in coding, biomechanics, AI, and data analysis. She earned her Master’s in Data Science from Eastern University, specializing in computational modeling and machine learning. As a published author, her contributions to AI research include two IEEE papers: Adapting Random Forests to Predict Obesity-Associated Gene Expression and Towards Faster Gene Expression Prediction via Dimensionality Reduction and Feature Selection. She also authored Scratch Day: Hands-On Computational Thinking Activities for Youth and Adults in the Journal of Technology-Integrated Lessons and Teaching. Her work continues to advance both AI research and equitable computer science education.