Our Work

 

How do we optimally use computational statistics and machine learning to produce actionable insights and high value predictions from big biological data? 

Our work is focused on answering this question. In practice, our work involves core research projects that are of interest to the MezeyLab and our collaborators, management and analysis of big biological data including type-specific processing and wrangling to analyzable forms, and development of statistical and learning methods and associated algorithms. While we have a core set of interests, the scope of our work is continually expanding, driven by innovations in computational statistics and machine learning, the latest available big biological data types, and the biological systems and applications of our collaborators and partners.