Sergey Kryazhimskiy

This study investigates how modular genotype-phenotype-fitness maps constrain trait evolution, showing that modular systems reach a module-selection balance where traits improve at the same rate.

This paper introduces BASIL, a Bayesian method to estimate fitness effects of beneficial mutations from BLT data, showing it is more accurate and robust than existing methods.

The paper tests the evolutionary safety of CRISPR-Cas9 gene drives in yeast by measuring their impact on mutation rates and loss-of-heterozygosity, finding minimal effects.

The paper improves genotype inference in yeast to reveal that LOH rates vary due to trans and cis factors, challenging previous findings.

The paper shows that mutational effects on microbial growth rate follow a pattern of global epistasis that is invariant across environments.

The paper derives rules for how epistasis propagates through hierarchical metabolic networks and shows that weak epistasis can be distorted at higher levels.