Hampton has a background in data science and machine learning which she applies to large multi-omic datasets in the neurodegenerative disease space. She is passionate about investigating differences on both clinical and omic levels and how these differences can affect clinical trial outcomes, as well as providing training and resources to the scientific community, including creating code notebooks, workflows, and designing and leading Hackathons.
Co-Lead Complex Disease Data Analysis
Hampton Leonard, MS
Data Tecnica International / National Institutes of Health | USA
Hampton has a background in data science and machine learning which she applies to large multi-omic datasets in the neurodegenerative disease space. She is passionate about investigating differences on both clinical and omic levels and how these differences can affect clinical trial outcomes, as well as providing training and resources to the scientific community, including creating code notebooks, workflows, and designing and leading Hackathons.
