Kristina is an independent researcher specializing in applied mathematics, pattern recognition, machine learning, and federated learning, with a focus on bridging academic theory and industrial practice. Her experience includes postdoctoral research at ISTI‑CNR in Italy and at the Department of Applied Mathematics at CYCU in Taiwan, where she developed innovative solutions that integrate rigorous theoretical work and practical applications. Her research targets complex systems through multi‑view clustering, heat‑kernel methods, and fuzzy clustering in both centralized and decentralized environments. These algorithms are designed to perform reliably in unpredictable real‑world conditions with heterogeneous data, such as in autonomous systems and smart healthcare. By combining theoretical precision with hands‑on experimentation, she creates scalable, intelligent solutions that consistently produce robust outcomes, including novel heat‑kernel‑based clustering algorithms that outperform traditional methods.