Русских Николай Евгеньевич

Русских Николай Евгеньевич
Должность
Начальник отдела машинного обучения
в команде Novel
c 2015 года
Образование
ММФ НГУ (2014 бакалавриат, 2016 магистратура), ШАД Яндекса (2018)
Проекты
Base-caller для секвенаторов SeqLL, Предиктивная аналитика матчей в НХЛ, Autobone, Protomenal, Дизайн TAQ-полимеразы
Интересы
Machine learning, deep learning, reinforcement learning в задачах биотехнологии и биоинформатики

Список публикаций

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
Русских Николай Евгеньевич

Русских Николай Евгеньевич

Должность
Начальник отдела машинного обучения
в команде Novel
c 2015 года
Образование
ММФ НГУ (2014 бакалавриат, 2016 магистратура), ШАД Яндекса (2018)
Проекты
Base-caller для секвенаторов SeqLL, Предиктивная аналитика матчей в НХЛ, Autobone, Protomenal, Дизайн TAQ-полимеразы
Интересы
Machine learning, deep learning, reinforcement learning в задачах биотехнологии и биоинформатики

Список публикаций

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