Solid training in theoretical and applied statistics with
concentration in Biostatistics.
Hands-on experience in study designs, SAP creation and review,
data analysis execution results interpretation, protocol reviewing and report
Proficient in statistical computing: 8+ years of experience in R, 5+
years of experience in SAS.
Accustomed to critical thinking, communicating and collaborating
with people of diverse organizational backgrounds.
Study designs, sample size calculation
Statistical inference and modeling
Missing data imputation
Longitudinal data analysis
SAS (BASE, STAT, MACRO, SQL...)
Advanced MS Excel
to 02/2017 The Johns Hopkins University – Baltimore
Demonstrated professional ability and
motivation by acting as the unique biostatistician and analysis lead in the
data core and being responsible from study design to all aspects and stages of
co-authored four manuscripts published in peer-reviewed scientific journals,
featuring both analysis results and statistical methodology.
Implemented a QC process for indoor air
quality monitoring output to automate flagging, reporting and cleaning.
Conduct sample size calculation. Prepare
statistical analysis plans. Carry out data clean and manipulation. Conduct data
analysis of clinical, laboratory, survey and device measured data applying standard
and non-standard statistical methodology from exploratory analysis to final
model building, sensitivity analysis, diagnosis, necessary post-hoc subgroup analysis etc.
Developed advanced programming and
statistical skills through extensive on-the-job use.
Educated team members without
statistical background with basic statistical method and programming.
Consulted with clinical and laboratory
investigators on their needs with respect to statistical design of studies.
2015 University of Maryland Baltimore County - Baltimore