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Rik Sarkar is a Reader (Associate Professor) in the School of Informatics at the University of Edinburgh. His research primarily focuses on Machine Learning, exploring various domains such as Private Secure Data Science, Biomedical AI, and Protein Drug Design Analysis. His work encompasses a range of methodologies, including Optimization, Generative Models, Topological Data Analysis, and Network Analysis. Additionally, he investigates Graph Machine Learning within the context of AI and Biomedical Engineering. Dr. Sarkar is actively involved in mentoring PhD students and postdoctoral researchers, contributing to the academic community with significant insights in his fields of expertise.
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