Mike Lindow

(He/Him) I’m pursuing an academic career in computational health science, focusing on publication and education. I apply machine learning to examine health behavior of active-duty service members at the Uniformed Services University of Health Sciences (USU). I am currently studying applications of unstructured data to public health behavior and trust. 

I act as a bridge between modern data-driven tools and daily decision-making. In the information age, repeated stored social interactions now allow us as a network of communities to reflect on ourselves and our communal values. I'm interested in the deeply embedded social values that appear through applying computer-driven methods to behavioral outcomes.

I mostly study consumer health behavior and public policy around suicidality and military readiness through machine learning, natural language processing, and econometrics. I'm also interested in algorithmic fairness, the economics of AI, prediction explainability, and analytics education and accessibility. 

As a biostatistician, I work with the Henry M. Jackson Foundation for the Advancement of Military Medicine, supporting methods design and analysis with USU research faculty, students, and alumni through the Biostatistics Consulting Center.