Computational Biology and Medicine: Harnessing Big Biological Data for Human Health and Disease

Her doctoral research focused on new statistical and deep learning methods for metabolomics data, specifically looking at the systemic impact of age-related disease and lifestyle interventions on metabolic state in human cohorts. At the Buck, Dr. Schweickart continues to employ her expertise in data science and machine learning methods towards building a systemic view of metabolism as it changes with aging, and how it can be used to design interventions to extend Healthspan...

Speaker: Annalise Schweickart, Buck Institute