Contact Information:
shixu at umich.edu​

I am currently a postdoctoral fellow at the Harvard Data Science Initiative, working with Tianxi Cai and Eric Tchetgen Tchetgen in the Department of Biostatistics at the Harvard TH Chan School of Public Health. I did my Ph.D. in Biostatistics at University of Washington, under the supervision of Andrea Cook and Patrick Heagerty. I obtained my B.S. in Mathematics and Applied Mathematics with a minor in English at the Chu Kochen Honors College of Zhejiang University, China.

I am broadly interested in developing novel statistical methods that provide insights from high volume and high variability administrative healthcare data such as electronic health records (EHR) data.  In particular, my research focuses on developing causal inference methods tailored to EHR data, automated knowledge extraction and translation across healthcare systems, post-marketing drug safety surveillance and effectiveness, and high-throughput comparison of medical code endorsement and healthcare utilization.

My research at a glance: data science + EHR + causal inference

Coding differences between Henry Ford Health System and Kaiser Permanente Northern California and differential utilization patterns

The future does not affect the past: past health outcome is a negative control in air pollution study to mitigate unmeasured confounding

Rare adverse event necessitates flexible propensity score methods

Medical knowledge extraction from co-occurrence pattern in EHR and ICD code translation between Partners HealthCare and Veterans Health Administration: spherical data corrupted by mismatch

Estimation of natural indirect effect robust to unmeasured confounding and measurement error in the mediator