Alumni

    https://amandakube.github.io/

My research interests involve the intersection of computer science and the social sciences. I am especially interested in fair applications of AI to social-scientific questions.

My current work combines machine learning and human decision-making to inform fair and efficient service allocations for homeless families.

My research interests are, broadly speaking, biomedical data science and clinical predictive modeling with a focus on social determinants of health. Projects I’m currently working on include modeling the impact of social determinants of health on COVID-19 outcomes, predicting whether patients will be readmitted to the hospital following spinal fusion surgery, examining the performance of machine learning and statistical models on predicting autoimmune disease diagnosis, and exploring how social connectedness impacts new daily rates of COVID-19 cases across counties.