Conor Lawless

Papers

Total Citations

102

H-Index

About

Conor Lawless is a computational biologist whose research sits at the intersection of microbial genetics, high-throughput screening, and quantitative analysis. His work has made significant contributions to the development of automated tools and workflows for measuring microbial fitness, enabling researchers to conduct genome-wide genetic interaction studies with greater precision and efficiency. Lawless is perhaps best known for developing Colonyzer, an automated image analysis tool designed to quantify the growth characteristics of micro-organism cultures on solid agar. Published in 2010 and accumulating 75 citations, this software addressed a critical bottleneck in high-throughput genetic screens by removing the need for manual colony measurement. Building on this foundation, he co-developed Quantitative Fitness Analysis (QFA), a comprehensive experimental and computational workflow that allows parallel comparison of microbial culture fitness across genome-wide screens, including investigations into genetic interactions and drug responses. This framework, published in 2012 with 25 citations, has provided the research community with a robust and reproducible methodology for fitness quantification. Together, these contributions have meaningfully advanced the toolkit available to yeast geneticists and microbiologists, supporting discoveries in areas such as cellular aging and drug sensitivity at genomic scale.