Gaithersburg, Maryland, United States
My research interest is time-to-event analysis, mainly on parametric survival analysis. Have some hands-on experience with machine learning techniques such as neural network (tensorflow), plus certain experience with multiple imputation, sequential clinical trial design, causal inference with a time-to-event endpoint. I have engaged with clinical trial data research from multiple perspectives - contract research organization, national agency and pharmaceutical company. As a previous SAS programmer, I was comfortable with all kinds of health care data, familiar with CDISC and SDTM validation. I also have generated many TFLs for CSR/IND/DSMB reports, creating/maintaining web reports to track study status, involved with Adhoc statistical analysis. As a researcher, I am engaging with multiple projects and actively publishing on peer-reviewed journals. See my google scholar page for more information: https://scholar.google.com/citations?user=H5fwNSYAAAAJ&hl=en Have knowledge and conducted course work including but not limited to regression analysis, longitudinal/categorical data analysis, data mining, multivariate data analysis and basic machine learning algorithms. 10+ years coding experience with SAS, R, enjoy coding and solving problems with analytic thinking 7+ years experience with STATA Author of more than one R packages Familiar with Oracle Database(11g), PL/SQL Python/Matlab - learning Data Visualization with Tableau or other statistical softwares Learning Japanese
OTS, CDER, Office of Biostatistics (OB), DBI
Biostatistician summer intern.