• Led and supported projects focused on psychotherapy process research and statistical methodologies.• Contributed to initial research ideas, data/statistical analysis, and reporting of findings in peer-reviewed journals. • Consulted as statistician for staff on various psychotherapy research projects and meta-analyses. • Utilized R with advanced statistical methods to wrangle and analyze data in a reproducible, efficient, and precise manner.

• Provided statistical support for startups, private corporations and research labs in several public universities in the USA and Internationally. • Utilized various statistical software programs (e.g. R, SAS) and statistical methods (e.g., meta-analysis, mixed effects models).

• Led and supported teams of multidisciplinary researchers on several projects focused on epidemiological investigations and psychological resilience among active duty military. • Contributed to all phases of research study life-cycle including initial research ideas, grant-writing, preparing IRB protocols, data analysis, and reporting of findings in multiple formats (co-authoring white papers, published reports in peer-reviewed journals, conference presentations). • Consulted as statistician for multiple investigators and provide in-house statistical support and presentations/workshops/teaching for NHRC staff. • Utilized several statistical software programs (R, Python, SAS) and statistical methods to generate and analyze relational data in a reproducible, efficient, and precise manner. • Managed, merged, wrangled, and analyzed big data centered on an active duty military population

Data scientist for projects evaluating mental health, obesity management, and substance abuse programs in the Veterans Health Administration. This involves:-extracting big data from administrative databases using SAS and SQL-data wrangling in R-data analysis in R using several statistical methods (e.g., propensity score analysis, linear, non-linear and longitudinal mixed effects regression models)-graphical presentation-interpreting the output from the statistical models-write-up for publication in scientific journals-developed several web applications/dashboards/GUIs in R, R Shiny and SQL Server Reporting Services (SSRS) that provide an easy to navigate GUI interface for data.

Health Services Fellow involved in all phases of conducting health services and mental health research under guidance from career research scientists. This involved:-initiating and proposing research ideas and hypotheses-(big) data extraction and management (using SAS, SQL, and R)-data wrangling in R-statistical analyses using several statistical methods (e.g., linear, non-linear and longitudinal mixed effects models, meta-analysis) and interpretation of results-graphical presentation-write-up for publication in scientific journals