I have over 15 years of experience working with advanced statistics and managing databases for large-scale research studies and small businesses. My statistical experience includes an extensive published record using various forms of the generalized linear model (e.g., regression, logistic regression, etc.), psychometrics and scale development, methods for handling missing data (such as multiple imputation), and power analysis. I am proficient with Stata, Python, and Mplus, and I have experience with Tableau, R, SAS, SPSS, and various other software packages. Throughout my career, I have applied this expertise in varied data contexts, including large epidemiological national surveys, experimental data, longitudinal/repeated measure studies, clinical data, and randomized controlled trials. My history of peer-reviewed publication is a testimony to these technical qualifications and documents dozens of successful collaborations with different individuals across multiple projects and institutions.  My experiences working with researchers, clinicians, and other professionals has honed my communication skills and ability to translate complex data into actionable insights for varied audiences. I also understand how to practically apply these experiences in a business context.  In my most recent position at Worth Treatment Center, I led clinic’s neuropsychological testing program and spearheaded the automation of a data pipeline to streamline patient care.  This pipeline transformed electronic form data (e.g., for tests, intakes, & progress notes) into actionable physician decision-aides and integrated patient scheduling and communications.  At the touch of a button, clinic psychiatrists can now generate a report visualizing changes in a patient’s self-reported symptoms alongside changes in their prescribed medications, or that statistically compare a patient’s test score with clinic and national norms.  By streamlining our clinic’s data workflow, these systems decreased the time physicians spent on extraneous aspects of progress notes by 50% and led to a fourfold reduction in the time staff spent on billing and scheduling. Throughout my career, I have particularly enjoyed my experiences in two recurring contexts.  During scientific peer review, I have always relished the challenge of defending my analytic approach with principled, reasoned arguments amongst experts.  Similarly, the process of helping colleagues outside my areas of substantive expertise gain insights into their own data and research – for example, by helping them map their ideas onto quantitative modeling frameworks or visualize patterns that aren’t immediately apparent in the raw data – has always been especially satisfying.  I am interested in opportunities to provide my expertise on problems like this.