Halvtidsseminarier Halvtidskontroll: Dhananjay Mukhedkar

2025-11-19 14:00 Lägg till i iCal
Hybrid Plats: ANA Futura Von Behring Plan 9 Online: Anslut till eventet

Scalable taxonomy classification of high-throughput sequencing data and machine learning

This doctoral work focuses on developing scalable, machine-learning–enhanced pipelines for taxonomy classification of large-scale sequencing data. The project integrates high-performance computing and deep learning to enable accurate detection of known and novel microorganisms in complex metagenomic datasets such as wastewater sequencing.

Main Supervisor

Laila Sara Arroyo Mühr, Docent

Co-supervisor

Jim Dowling

Half-time Review board

Carsten Daub | Karolinska Institutet

Oscar Bedoya Reina | Karolinska Institutet

Lina Marcela Diaz-Gallo | Karolinska Institutet