Researchers from the Laboratory of Methods for Big Data Analysis (LAMBDA) at the HSEFaculty of Computer Science have created a monitoring system that is used in the Large Hadron Collider beauty experiment (LHCb). The system helps track the quality of the collected data and allows operators to quickly find errors.
Nikita Kazeev holds a Candidate of Sciences degree (Russian equivalent of a PhD) in Computer Science and a PhD in Physics. He is a Research Fellow at the LAMBDA Laboratory and works at CERN. In an interview with HSE News Service, he talked about what it was like to defend his dissertation in a double doctoral degree programme at HSE University and Sapienza University of Rome, what it is like to conduct research in Geneva, and why it is imperative to communicate with colleagues.
Fedor Ratnikov, a leading researcher at the Laboratory of Methods for Big Data Analysis (LAMBDA), has been appointed project coordinator in the SHiP collaboration. He will be responsible for developing and designing the detector’s active magnetic radiation shielding.
Over the course of 20 years, since the beginning of contemporary medicine’s transition into a digital format, a vast amount of largely unused data has amassed. The analysis of these data and the extraction of a new logic of control from them is one of the most popular areas of focus in applied mathematics, Oleg Pianykh, a Professor in HSE’s Department of Data Analysis and Artificial Intelligence and an Associate Professor at Harvard Medical School, said in a report. His report, 'Big Data in Medicine: How to Make them Work,' was presented at HSE’s academic seminar 'Mathematical Models of Information Technologies.'