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Ivoline Ngong is a research-focused professional currently serving as a Research Scientist - Trustworthy Foundation Models Summer Intern at IBM and as a Graduate Research Assistant at the University of Vermont, where research centers on provable fairness and privacy in machine learning, supported by an Amazon Research Award. Additional roles include a Research Scientist at OpenMined, contributing to privacy accounting and medical federated learning, and a Microsoft Research RLOS Developer addressing phase-ordering problems in the LLVM compiler using reinforcement learning. Ivoline has participated in prestigious programs like the Google Computer Science Research Mentorship Program, and previously worked with DeepLearning.AI and Udacity in various technological and educational capacities, alongside gaining valuable experience as a Junior Machine Learning Engineer at Omdena. Currently pursuing a PhD in Computer Science, Ivoline Ngongā€™s educational background includes a Master of Engineering from Konya Technical University and a Bachelor's degree from the University of Buea, complemented by various certifications from Udacity.