Turning hard science into usable intelligence

Nikita Kazeev is a Research Fellow in the laboratory of Professor Kostya Novoselov at the Institute for Functional Intelligent Materials, National University of Singapore (NUS). He holds a dual PhD degree in CS from HSE University and in Physics from Sapienza Università di Roma. He completed his undergraduate studies at the Moscow Institute of Physics and Technology and graduated from the Yandex School of Data Analysis.

Prior to joining NUS, Dr. Kazeev worked at CERN, where he specialized in applying machine learning techniques to complex challenges in high-energy physics; he received the 2025 Breakthrough Prize in Fundamental Physics as a part of the LHCb collaboration.

His current research at NUS is focused on pioneering the use of machine learning for the discovery and design of novel materials. Dr. Kazeev is deeply involved in fostering the AI/ML research community. He was the main organizer for the ICLR 2025 Workshop on Machine Learning for Multiscale Processes and the deputy chair of the scientific committee for the AI4X conference. Furthermore, he is a co-Principal Investigator on a US$3.4 million AI Singapore grant dedicated to advancing multiscale machine learning.