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Crina Grosan is a Senior Lecturer in the Division of Digital Health Applied Technology Assessment at King’s College London. Her primary research interests lie in the field of artificial intelligence, optimization, and data analytics. Dr. Grosan has developed and adapted various methods and algorithms for data analysis, focusing on many-objective, multimodal, and combinatorial optimization problems to enhance decision-making processes. Her work emphasizes interdisciplinary applications of AI in healthcare, particularly in the development of AI-driven health technologies and novel methods of healthcare delivery. She explores AI-driven data-centric approaches to biomedical healthcare data, including fairness considerations in machine learning and statistical design of machine learning experiments. Crina's scholarly contributions address important issues in healthcare and informatics, utilizing knowledge discovery and digital technologies for patient monitoring. Through her research, she aims to facilitate advancements that could significantly improve health outcomes and healthcare systems.
King's College London • London, United Kingdom
Involved in teaching, research, and supervision in the field of Digital Health and Artificial Intelligence.
Requirements are consistent across King's Business School and Social Science & Public Policy departments for standard Master's entries.