Mikel Ngueajio

Mikel K. Ngueajio is a 5th-year Ph.D. candidate in computer science at Howard University (Washington, D.C., USA), advised by Dr. Rawat, and an adjunct instructor at Carnegie Mellon University Africa, where she teaches Python Programming for Data Analytics. Her doctoral research bridges the gap between hate speech and misinformation, focusing on developing explainable AI systems to mitigate online harm.

She holds a B.Sc. in mathematics from the University of Buea (Cameroon) and an M.Sc. in computer science from Howard University. Ngueajio brings extensive industry experience, having worked as an IoT engineering intern at Intel (2018), data scientist at Amazon Alexa (2019), web development apprentice through Bloomberg's B.E.S.T program (2021), and, most recently, as a machine learning engineering intern at Apple Siri (2023).

Her research has been published in top-tier venues, including ACM Computing Surveys, AAAI, ACL, EMNLP, and HCI International. She is a recipient of the Amazon AWS PhD fellowship (2023) and the Apple Scholars in AI/ML Award (2023), and was named a Machine Learning Rising Star 2024 by the MLcommons and invited to present her research at NVIDIA HQ(2024).

Beyond research, Mikel actively contributes to the AI community as a reviewer for ACM CSur, Women in ML, Indaba, and Black in AI, and as a program committee member for the Towards a Safer Web for Women workshop at The Web Conference 2025. She is equally passionate about mentorship and leadership, empowering the next generation of technologists to combine technical excellence with social impact.