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.