She is trained in statistics, econometrics, and causal inference, and is experienced in managing and analyzing complex health data, including CMS administrative claims and national survey data. Her subject areas of expertise include dementia, aging, hospice and end-of-life care, and Medicare. 

Kan designs and conducts quantitative analyses for several NORC projects. She is leading analytical work for an NIH-funded grant developing a surveillance system for dementia in the United States using claims data and public survey data sources. She is also a researcher on CMMI evaluations, including the Next Generation Accountable Care Organization (NGACO) model, Pennsylvania Rural Health Model (PARHM), and ACO REACH model evaluations.