Nikolay Russkikh

This paper uses AI-driven rational design and wet-lab analysis to create Taq polymerase mutants with enhanced reverse transcriptase activity while maintaining other key properties.

A NeurIPS 2021 benchmarking competition evaluated over 2600 submissions from 280 competitors across three multimodal single-cell integration tasks using a purpose-built benchmarking dataset and cloud evaluation pipeline.

This paper applies style transfer methods to RNA-Seq data harmonization and treatment outcome prediction, showing improved style and semantics prediction accuracy compared to existing approaches.