Gergő Nikolényi

This study evaluates ML and biophysical models for predicting TCR-pMHC specificity, showing ML struggles with novel peptides while biophysical methods excel but underperform on known ones, leading to a hybrid model with improved performance.

The paper tracks SOX2 and NANOG dynamics in live cells using advanced microscopy and analysis pipelines, revealing differences in their spatiotemporal behavior due to protein-protein interactions.

This study uses base editing to screen for variants affecting T cell anti-tumor functions, identifying mutations that enhance tumor elimination with minimal off-target effects.