Lars Kaderali

The paper models SARS-CoV-2 replication dynamics in human cells, identifies key bottlenecks, and evaluates antiviral drug effects using mathematical modeling and experimental data.

This paper organizes a community challenge to develop automated virus taxonomy classification tools and evaluates their performance on a combined dataset of expert-curated and metagenomic sequences.

MICA detects change points by minimizing the discrepancy between model simulations and observed data, demonstrating utility in epidemiological modeling and system monitoring.

Jaeger is a deep-learning tool that accurately and quickly identifies bacteriophage sequences in metagenomic data, achieving high sensitivity and precision.