Mark Johnston

Mark Johnston is an Assistant Professor at CEES School of Science, specializing in statistical methodology development for biological applications.

His core research domains include:

• Statistics
• Bioinformatics
• Computational Biology
• Machine Learning
• Mathematics

Johnston's work integrates advanced statistical techniques like Generalized Linear Models and Maximum Likelihood estimation to solve complex problems in genomic data analysis. His recent research focuses on constructing gene regulatory networks through covariate-adjusted approaches that combine auxiliary information with penalized likelihood methods, advancing precision in biological network modeling.