download a pdf of my resume here.
I am the
Director of Research and Evaluation for Computer Science Education at
the New York City Department of Education. This work centers on
designing and establishing long term evaluation plans related to NYC's
recently announced CS4All
initiative, an unprecedented public-private partnership utilizing
$80million over the next ten years to ensure that all public school
students receive meaningful CS education in elementary, middle, and
high school levels. I also work alongside the DOE's primary
private-side partner, CSNYC, to
establish a meaningful research agenda to best leverage the large scale
CS work being undertaken in the city. I also conduct formative
evaluation work with the Software
Engineering Program, summative evaluation work on grant-funded
projects, and help to coordinate external research projects focusing
on CS education.
Previously, I worked in the Office of Postsecondary Readiness as a
research analyst, working to support the
development of programs aimed at assisting a variety of students in the
New York City school system. These programs range from those targeted
at students at risk of dropping
out of school to those providing 21st century vocational training,
including my initial work with our CS team. My work flow included
developing and carrying out program evaluations (both summative and
formative), assembling and analyzing data from the school
system's databases, and generating reports for internal program
teams, funding bodies, and external
Prior to moving to New York, I had the good fortune of working with Jeff Moore on developing a
assessment tool, the Striver Quotient (SQ), derived from
Coach Moore's experiences as a high
level tennis coach, for use by companies and organizations. This
assessment has been custom designed according to Coach Moore's Striver
concept, and thorough psychometric testing on the SQ
has been done on data sets derived from thousands of responses
collected online. The SQ is currently being used by a variety of
businesses in the greater Austin, TX area.
I have also applied my skills as a psychologist and data
analyst in a contractor role. I have assisted HR departments in
performing personality assessments, worked with other researchers on
experimental design and software coding projects, as well as assisted
individuals in analyzing complex data sets.
During graduate school at the University of Texas, I often worked
with the Division of Statistics
Computation. I participated in a
semester long training seminar aimed at teaching students with applied
statistical backgrounds to work as statistical consultants. I also
worked with the division in revising their introductory-level
statistics courses to better take advantage of the technological
resources available at the university.
Graduate school has afforded me the opportunity to work in a variety of
teaching capacities, as well. I have taught my own courses in
psychology, as well as served as a teaching assistant for a wide range
of psychology and statistics courses. This experience has greatly
improved my abilities as a communicator, making me better able
express complex ideas and explain intricate analytic techniques to
groups and individuals without technical backgrounds. It also served to
reinforce the organizational and deadline-driven work style that I had
developed throughout my career.
I am a trained experimental psychologist, with an interest in applied
behavioral research. My academic research focused on how
physiological systems interact with the social environment to
influence behavior (which you can read more about here).
undergraduate career at the University of Michigan I was interested in
social issues and the intersection of the social world and the
individual. Towards the end of my college career I became interested in
the research process, particularly through my work with Dr.
Oliver Schultheiss. It was then
that I chose to pursue a graduate
career in social and personality psychology.
My graduate career at the University of Texas at Austin with Dr.
Robert Josephs was an
invaluable learning experience. One of
the greatest benefits of my graduate school experience was that I was
forced to learn in an applied environment. I did not only learn
statistics and research methods in the classroom, but by designing and
conducting research myself. There is no replacement for first hand
experience, and this is especially true when it comes to conducting
research and handling data.
Possibly the greatest thing I took away from my graduate school
experience was learning to teach myself. As my
career advanced, I found that teaching myself new methods and
techniques was the
greatest way for my research interests and abilities to
grow. I taught myself high level analytic techniques (e.g., mutlilevel
logistic modeling), as well as
new research methods (e.g.,
exogenous hormone administration). With the foundational knowledge and
confidence to trust in my own abilities, I learned that I am only
limited by my desire to teach myself.
New York, NY
featured above is "Cadmium Red over Black" (1959) by Adolph Gottlieb.
*Site last updated on 4.27.2016