Jason Bryer, Ph.D.

Assistant Professor and Associate Director


Dr. Jason Bryer is currently an Assistant Professor and Associate Director in Data Science and Information Systems at the City University of New York. He is also the Principal Investigator of an IES grant ($3,789,074, R305A210269) examining the efficacy, predictive power, and cost effectiveness o the Diagnostic Assessment of College Skills. Prior to joining CUNY, he was Executive Director at Excelsior College where he has served as Principal Investigator of the FIPSE First in the World grant to develop and research the Diagnostic Assessment and Achievement of College Skills along with supporting research and evaluation of other grants at the institution. Dr. Bryer’s research interests include quasi experimental designs with an emphasis in propensity score analysis, data systems to support formative assessment, and the use of open source software for conducting reproducible research. He is the author of over a dozen R packages, including three related to conducting propensity score analyses. When not crunching numbers, Jason is a wedding photographer and proud dad to three boys.

Work Experience

Assistant Professor and Associate Director

CUNY School of Professional Studies | 2020 to present

Assistant Professor in the Data Science and Information Systems department with a two-thirds teaching, one-third adminstration split.

Research Data Associate

Cornell University | 2019 to 2020

Associate for the Special Education Technical Assistance Partnership for DATA to support the data needs for specialists and school districts within New York State. Primary developer of the data.osepartnership.org data dashboard.

Executive Director and Principal Investigator

Excelsior College | 2016 to 2020

Manage FIPSE First in the World grant to develop a Diagnostic Assessment and Achievement of College Skills (DAACS; $2,999,877). DAACS provides incoming students with realtime, actionable feedback about their strengths and weaknesses in critical college skills including self-regulation, math, reading, and writing. Additionally, DAACS provides critical information for predictive analytics at the college.Website: https://www.daacs.net

Adjunct Associate Professor

CUNY School of Professional Studies | 2015 to 2020

Courses taught: DATA 606 Statistics & Probability for Data Analytics Website: http://data606.net/

Consultant / Learning Analyst

NYS PBIS Technical Assistance Center | 2015 to 2019

Developed a data system to support Behavior Specialists work with schools within New York State on their implementation of Positive Behavior Interventions and Supports (PBIS). The goal of this website is to consolidate disparate data sources along with custom data entry so that Behavior Specialists can make data based decisions. I also provided statistical support for analyzing the data at the state level.Website: https://pbisny.org

Director of Research & Project Evaluation

Excelsior College | 2014 to 2015

Assisted the College in seeking external grants and provide research support for existing grants. Significant activities included:* Principal Investigator for a Gates Foundation funded grant ($168,572) on the use of adaptive learning technology in Biology and Mathematics.* Lead Evaluator for New York State Higher Education Services Corporation (HESC) grant ($449,438) for the expansion of the Online Writing Lab to NYS Community Colleges.

Adjunct Instructor

University at Albany | 2009 to present

Courses taught: EPSY 420 Child & Adolescent Development (Fall 2008, Spring 2009), EPSY 530 Statistics I (Fall 2013, Summer 2014, Fall 2014, Summer 2015), EPSY 887 Computational Statistics (Spring 2013), EPSY 887 Data Science Institute (Fall 2014), EPSY 887 Intro to R for Academic Researchers (Fall 2019), EPSY 630 Statistics II (Spring 2020)

Senior Research Analyst

Excelsior College | 2008 to 2014

Conducted research and data analysis related to the College’s mission. This includes developing, administering, and analyzing surveys; analyzing data from the college’s student information system; and consulting with individual schools to develop specific measures. I also provided substantial support and training for other Research Analysts within the Office covering topics such as methodology, statistics, and reproducible research.

Research Assistant

Head Start University Partnership for Classroom Quality | 2008 to 2010

Assisted with data collection, entry, maintenance, and analysis to evaluate the effectiveness of behavioral (Positive Behavior Support [PBS]) and literacy interventions using the Response-to- Intervention (RTI) model.Principal investigators: Kevin P. Quinn & Frank R. Vellutino


University at Albany, School of Education | 2008 to 2011

Developed and maintained all School of Education websites.

Graduate Assistant

Teaching Mathematics for Understanding, University at Albany | 2006 to 2007

Developed and led planning sessions with K-8 mathematics teachers in urban school districts on social justice topics in the mathematics curriculum. Assisted in other areas of the project including data collection, conference planning, and development of online professional development courses.Principal Investigators: Abbe Herzig & Vicky Kouba

Senior Applications Developer

Excelsior College | 2006 to 2008

Developed Java applications for distance learning and student management systems.

Senior Software Engineer

State University of New York | 2004 to 2006

Developed web based applications in Java and related technologies as part of a state wide financial and human resource systems.

Software Engineer

MapInfo | 1999 to 2004

Contributed key features as part of a geographic information system (GIS) server application(MapXtreme Java) including API for reading and writing binary GIS data, framework for web based applications, and data binding.

Web Developer

Office of the Attorney General | 1997 to 1999

Software developer and website designer for the New York State Attorney General’s Website.




An R package to visualize maximum likelihood estimation.



An R package to support DATA 606 course taught in the M.S. in Data Science program at CUNY.


R Package

An R package to manage data caching.


R Package

An R package to analyze and visualize Likert based items.


R Package

An R package for estimating and visualizing multilevel propensity score models.


R Package

An R package to interface with the National Assessment of Educational Progress (NAEP) restricted use databases. This includes access any analyzing data using the replicate weights and multiple plausible values.


R Package

Bootstrapping for Propensity Score Analysis.


R Package

An R package to manage a library of SQL queries.


R Package

An R package to create timeline figures.


R Package

Propensity score matching for non-binary treatments.



  • (2022) The use of predictive modeling for assessing college readiness
  • (2018) Validity evidence of the internal structure of the {DAACS} self-regulated learning survey
  • (2013) Impact of changes in literacy course content in teacher education programs on preservice teachers' knowledge
  • (2012) Measuring motivation and volition of nursing students in non-traditional learning environments
  • (2011) An international comparison of private and public schools using multilevel propensity score methods and graphics (Abstract)
  • (2010, 2011, 2012, 2013, 2014) Excelsior College Fact Book


Running, Photography, Guitar