Ekaterina Trofimova
- Junior Research Fellow, Postgraduate Student:Faculty of Computer Science / AI and Digital Science Institute / Laboratory of Methods for Big Data Analysis
- Ekaterina Trofimova has been at HSE University since 2019.
Postgraduate Studies
4th year of study
Approved topic of thesis: Algorithms development for building machine learning pipelines using datadriven natural language processing methods
Publications5
- Article Anastasia Drozdova, Ekaterina Trofimova, Guseva P., Scherbakova A., Ustyuzhanin A. Code4ML: a large-scale dataset of annotated Machine Learning code // PeerJ Computer Science. 2023. Vol. 9. Article e1230. doi
- Article Valeriy Berezovskiy, Anastasia Gorodilova, Trofimova E., Ustyuzhanin A. Machine learning code snippets semantic classification // PeerJ Computer Science. 2023. Vol. 9. Article e1654. doi
- Article Sergeev F., Jain N., Kostenkov G., Trofimova Ekaterina. Fast simulation of the LHCb electromagnetic calorimeter response using VAEs and GANs // Journal of Physics: Conference Series. 2021. No. 1740. Article 012028. doi
- Article Zarodnyuk A., Trofimova E., Solovyov A., Gradoboev D. Galaxy Clusters Reconstruction // Journal of Physics: Conference Series. 2021. No. 1740. Article 012017. doi
- Article Belavin V., Trofimova E., Ustyuzhanin A. Segmentation of EM showers for neutrino experiments with deep graph neural networks // Journal of Instrumentation. 2021. No. 16. Article P12035. doi
Conferences
- 2020International Conference on Computer Simulation in Physics and beyond (Москва). Presentation: Galaxies Clusters Reconstruction with Variational Autoencoders
International Conference on Computer Simulation in Physics and beyond (Москва). Presentation: Fast simulation of the LHCb electromagnetic calorimeter response using VAEs and GANs
Employment history
March 2016 - Jan 2017 National Settlement Depositary. Moscow Exchange group. Securities department. Junior Specialist
May 2017 - Jan 2019 BNP Paribas Cardif Russia. Junior Data Analyst
Oct 2019, Feb 2020 Sberbank Corporate University. Lecturer of ML seminars
At Sarov Technopark, Researchers from HSE Faculty of Computer Science Discussed AI for Data Analysis in Physics
The Laboratory of Methods for Data Analysis of the HSE Faculty of Computer Science, in collaboration with the All-Russian Research Institute of Experimental Physics (RFNC-VNIIEF, Sarov) and the National Centre for Physics and Mathematics, recently held the Second All-Russian School-Seminar on High Energy Physics and Accelerator Technology.
Summer School on Machine Learning in High Energy Physics Took Place
On July 15-30, the Seventh International School on Machine Learning in High Energy Physics (MLHEP) organised by the Laboratory of Methods for Big Data Analysis (LAMBDA), Yandex School of Data Analysis and EPFL (Switzerland) took place.