معرفی
Anastasia Borovykh is an Assistant Professor in the Department of Mathematics at Imperial College London, affiliated with the Faculty of Natural Sciences and the Imperial-X initiative. Her research focuses on developing computational models to enhance artificial intelligence systems, integrating insights from neuroscience, applied probability, signal processing, and mathematical modeling. Key application areas include healthcare (e.g., Parkinson’s disease biomarkers), neuroscience (brain connectivity analysis), and privacy preservation in neural networks.
Her affiliations include Academic Women in Mathematics, the Applied Mathematics and Mathematical Physics group, and the Artificial Intelligence Network. She leads a research group emphasizing interdisciplinary approaches to AI, leveraging tools from statistical mechanics and advanced signal processing techniques.
Recent publications highlight her work on diffusion models, privacy in machine learning, and reinforcement learning applications in chaotic systems control. Her research often bridges theoretical foundations with practical implementations in healthcare and cybersecurity domains.
No scientific awards are explicitly listed in the provided information. Her advising and grants section remains unspecified, though her active research group suggests ongoing collaborative projects. She is part of Imperial-X, a platform for cross-disciplinary innovation.
