First technical papers accepted at top-tier AI, NLP, ML conferences: ACL-WOAH Conference 2025, EMNLP Findings 2025, WIML@NEURIPS 2025. First-time journal publication at ACM Csur Journal 2025. Selected as Machine Learning and Systems Rising Star by ML Commons 2024. Presented research at Nvidia HQ. Recipient of Amazon AWS PhD Research Fellowship (2023-2024). APPLE TMCF Scholarship recipient (2023-2024). Third place poster winner at Richard Tapia Conference 2023. Black ComputerHer Fellow (2022-2023). First place poster winner at ADMI Conference 2022. First place Innovator Award recipient at the 2021 CMD-IT Innovation Challenge. First place research poster winner at the 2021 CCSC-Eastern Regional Conference.
Research Experience
Served as a conference reviewer for Black in AI 2024, Women in Machine Learning 2024, and currently serves as a program committee member for Towards a Safer Web for Women at WebConf 2025 workshop; Graduate Research Assistant for the Center of Excellence in AIML (CoE-AIML); Adjunct Instructor at CMU-Africa since Fall 2025, teaching Programming for Data Analytics.
Education
Pursuing a Ph.D. in Computer Science at Howard University, advised by Dr. Danda Rawat.
Background
Fifth-year Ph.D. student in Computer Science at Howard University, passionate about leveraging Machine Learning to better understand human language, effective AI use, and AI for social good. Doctoral research focuses on the relationship between hate speech and fake news, aiming to design robust and explainable AI systems for detecting and mitigating these societal challenges effectively and transparently.