Summary
Wiem Rim is a founder and PhD candidate in AI at UCL with a decade of global experience spanning NLP, knowledge graphs, explainable AI and applied research. She built award-winning evaluation methods for knowledge graph embeddings at NEC Labs (work presented at AKBC and EMNLP co-located workshops) and now leads Quidem.AI to deliver domain-specific fact-checking solutions for high-stakes sectors like PR and law. Her background blends rigorous academic training from Tokyo Institute of Technology and University of Tokyo with hands-on product and mobile engineering roles, giving her a rare mix of research depth and production experience. Comfortable across languages and platforms, she is driven by curiosity and international perspectives, having worked and studied across Europe, Japan, Lebanon and the US.
10 years of coding experience
4 years of employment as a software developer
Certificate of completion Computer Science, Certificate of completion Computer Science at Make School
University College London
Two year preparatory program after which I can pursue an Engineering degree Engineering double concentration in Mathematics and Physics, Two year preparatory program after which I can pursue an Engineering degree Engineering double concentration in Mathematics and Physics at Université de Tunis
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at Tokyo Institute of Technology
Semester Abroad - Bachelor's degree Computer Science, Semester Abroad - Bachelor's degree Computer Science at University of Pennsylvania
University of Tokyo
Bachelor's degree Computer Science, Bachelor's degree Computer Science at American University of Beirut
English, French, Arabic, German, Japanese