Mikel is a driven Fourth-year Ph.D. student in Computer Science at Howard University in Washington, D.C., specializing in AI applied to NLP. Her research centered on the interplay between Language, Computation, and AI impacts on Humans and Society, primarily through the lens of Explainable AI, Hate speech, and fake news detection.

Recognized as a 2023-2024 TMCF HBCU Apple Scholar and an AWS Research Fellow, Mikel brings both academic excellence and industry experience to their work. She has previously interned as a Data Science intern at Amazon, a Web Development apprentice at Bloomberg, and a Machine Learning Engineering intern at Apple.

Mikel is an active Kaggle competitor, and a prolific researcher, with work featured in top-tier AI and HCI conferences. Mikel has been a Graduate Student Researcher, collaborating with researchers from the National Geospatial Agency, the Educational Testing Service, and Google. She has also served as a conference reviewer for Blacks in AI and Women in ML at NeurIPS.

Check out my Google Scholar (https://scholar.google.com/citations?user=XPwyeRYAAAAJ&hl=en ) and do not hesitate to reach out for future collaborations.

Beyond academia, Mikel enjoys speaking and blogging about recent advances in technology. She's an avid watcher of medical documentaries, a tennis enthusiast, and loves spending quality cooking and playtime with her family.