Russkikh Nikolai Evgenievich

Russkikh Nikolai Evgenievich
Post
Head of Machine Learning Department
in the Novel team
since 2015
Education
Department of Mathematics and Mechanics NSU (2016), master,
Yandex School of Data Analysis (2018)
Projects
Base-caller for SeqLL sequencers, NHL match predictive analytics, Autobone, Protomenal, biotech proteins design
Interests
Machine learning, deep learning, reinforcement learning in biotechnology and bioinformatics

List of publications

2022
Multimodal single cell data integration challenge: results and lessons learned
Christopher Lance, Malte D. Luecken, Daniel B. Burkhardt, Robrecht Cannoodt, Pia Rautenstrauch, Anna Laddach, Aidyn Ubingazhibov, Zhi-Jie Cao, Kaiwen Deng, Sumeer Khan, Qiao Liu, Nikolay Russkikh, Gleb Ryazantsev, Uwe Ohler, NeurIPS 2021 Multimodal data integration competition participants, Angela Oliveira Pisco, Jonathan Bloom, Smita Krishnaswamy, Fabian J. Theis
2020
CellCountCV-A Web-Application for Accurate Cell Counting and Automated Batch Processing of Microscopic Images Using Fully Convolutional Neural Networks
Denis Antonets, Nikolai Russkikh, Antoine Sanchez, Victoria Kovalenko, Elvira Bairamova, Dmitry Shtokalo, Sergey Medvedev, Suren Zakian
Sensors (Basel). 2020 Jun 29;20(13):3653. doi: 10.3390/s20133653.
Style transfer with variational autoencoders is a promising approach to RNA-Seq data harmonization and analysis
Nikolai Russkikh, Denis Antonets, Dmitry Shtokalo, Alexander Makarov, Yuri Vyatkin, Alexey Zakharov, Evgeny Terentyev
Bioinformatics, Volume 36, Issue 20, 15 October 2020
Russkikh Nikolai Evgenievich

Russkikh Nikolai Evgenievich

Post
Head of Machine Learning Department
in the Novel team
since 2015
Education
Department of Mathematics and Mechanics NSU (2016), master,
Yandex School of Data Analysis (2018)
Projects
Base-caller for SeqLL sequencers, NHL match predictive analytics, Autobone, Protomenal, biotech proteins design
Interests
Machine learning, deep learning, reinforcement learning in biotechnology and bioinformatics

List of publications

2022
Multimodal single cell data integration challenge: results and lessons learned
Christopher Lance, Malte D. Luecken, Daniel B. Burkhardt, Robrecht Cannoodt, Pia Rautenstrauch, Anna Laddach, Aidyn Ubingazhibov, Zhi-Jie Cao, Kaiwen Deng, Sumeer Khan, Qiao Liu, Nikolay Russkikh, Gleb Ryazantsev, Uwe Ohler, NeurIPS 2021 Multimodal data integration competition participants, Angela Oliveira Pisco, Jonathan Bloom, Smita Krishnaswamy, Fabian J. Theis
2020
CellCountCV-A Web-Application for Accurate Cell Counting and Automated Batch Processing of Microscopic Images Using Fully Convolutional Neural Networks
Denis Antonets, Nikolai Russkikh, Antoine Sanchez, Victoria Kovalenko, Elvira Bairamova, Dmitry Shtokalo, Sergey Medvedev, Suren Zakian
Sensors (Basel). 2020 Jun 29;20(13):3653. doi: 10.3390/s20133653.
Style transfer with variational autoencoders is a promising approach to RNA-Seq data harmonization and analysis
Nikolai Russkikh, Denis Antonets, Dmitry Shtokalo, Alexander Makarov, Yuri Vyatkin, Alexey Zakharov, Evgeny Terentyev
Bioinformatics, Volume 36, Issue 20, 15 October 2020