Data Scientist

Shems is a Computer Scientist with a background in Neuroscientist and a strong interest in the social implications of data-driven technology solutions. She is a Data Scientist at the Duke Institute for Health Innovation (DIHI). Prior to joining Duke, she had undertaken product development at a MLxHealthcare startup, and prior to that, in technical and managerial roles, she was a member of Vector Institute’s engineering and industry innovation teams which work with the institute’s researchers and focus on Applied Machine Learning in health, industry, and government. She received her Master’s and BSc from the University of Toronto. Her Master’s work, done in affiliation with the Hospital for Sick Children, focused on modeling irregularly sampled temporal health data. Shems has also been involved in organizing multiple workshops/academic events including FairML in Healthcare and ML for Mental Health.