Suggestions
Nura Kawa
AI Research Scientist at neurocat
Nura Kawa is an AI Research Scientist at neurocat, a Berlin-based startup focused on developing safe and secure artificial intelligence systems. Her research primarily concentrates on adversarial robustness of deep neural networks, as well as privacy-preserving machine learning and explainable AI. Kawa emphasizes the importance of explainability in AI, especially for high-stakes applications where understanding the decision-making process of models is crucial.12
She holds a Master of Science in Statistics and Data Science from KU Leuven in Belgium, and a Bachelor of Arts in Statistics from the University of California, Berkeley.1 Kawa has participated in various conferences, including PyData Yerevan 2022, where she discussed the challenges and importance of Explainable AI (XAI) in ensuring trustworthy AI systems.13
In her role at neurocat, she contributes to creating innovative solutions that help identify vulnerabilities and data gaps in machine learning models, thereby enhancing the safety and reliability of AI applications, particularly in the automotive sector.2
