Regular biography
Nikolay Malkin is a Chancellor's Fellow in AI and Datascience at The University of Edinburgh's Department of CS. His work focuses on AI and datascience, with an emphasis on advancing computational methods and their applications. Malkin's research explores the intersection of artificial intelligence and data science, contributing to the development of innovative solutions in these fields. He is affiliated with The University of Edinburgh and can be contacted via email at nmalkin@ed.ac.uk. His professional profile is available at https://www.ed.ac.uk/Nikolay_Malkin.html.
Scholar-generated biography
Nikolay Malkin is a researcher at the University of Edinburgh, focusing on generative models and their applications in machine learning. His work explores the development and improvement of flow-based generative models, including the use of minibatch optimal transport and score matching techniques. He has also contributed to the field of graph combinatorial problems by employing GFlowNets for solving complex tasks. Additionally, Malkin has worked on large-scale land cover mapping using multi-resolution data and weak supervision. His research emphasizes the integration of variational inference, amortized inference, and Bayesian methods within generative frameworks.