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Nikolay Malkin is a Chancellor's Fellow in the School of Informatics at the University of Edinburgh and a fellow of CIFAR's Learning Machines and Brains programme. His research focuses on algorithms for probabilistic inference, Bayesian machine learning, and applications in generative modeling and neurosymbolic AI. Malkin explores Bayesian posteriors of high-dimensional structured variables and aims to improve machine reasoning for practical applications in areas such as natural language processing and remote sensing. He holds a PhD in mathematics from Yale University and has worked as a postdoctoral researcher at Mila, the Québec AI Institute, collaborating with leading experts in the field. Malkin is committed to fostering an inclusive research environment and encourages students from diverse backgrounds to engage with his research.
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