Since last September, Matthew Mangold has been a Postdoctoral Research Fellow in the School of Philology at the Higher School of Economics in Moscow. After completing a PhD in Comparative Literature at Rutgers University in 2017, he joined HSE to conduct research on the intersection between Russian literature and the medical arts, in particular environmental medicine and psychology.
Research & Expertise
Samsung-HSE Laboratory will develop mechanisms of Bayesian inference in modern neural networks, which will solve a number of problems in deep learning. The laboratory team will be made up of the members of the Bayesian Methods Research Group — one of the strongest scientific groups in Russia in the field of machine learning and Bayesian inference. It will be headed by a professor of the Higher School of Economics Dmitry Vetrov.


Researchers at the Higher School of Economics (HSE University) have revealed that Russian companies need to invest in the development of intellectual resources in order to maximize the benefits from partners in developed countries. Results of the study have been published in the journal, Knowledge Management Research & Practice.
The HSE Center for Language and Brain studies a broad range of topics related to the connection between the brain and language. For Svetlana Malyutina, Deputy Head, and Mariya Khudyakova, Junior Research Fellow, particularly interesting areas of focus include the breakdown of language processing after brain damage (e.g., stroke, neurosurgery, epilepsy) and language acquisition in children.
The recipients of the annual Web of Science Awards are the most influential scientists, scientific organizations and publications of the year. The Moscow Mathematical Journal has made it into the top quartile in the subject area of mathematics and was announced by jury members to be the most influential Russian scientific journal of 2017.
Researchers from the HSE Laboratory of Theoretical Computer Science have won a competition organized by the Russian Foundation for Basic Research (RFBR) and the Royal Society of London for Improving Natural Knowledge.

Mathematicians at HSE have successfully demonstrated the use of a Japanese model which detects seismic activity in predicting currency risks. The research results have been published in an article entitled 'Hawkes Processes for Forecasting Currency Crashes: Evidence from Russia'.
