Analyst/researcher experienced in data extraction and cleaning, statistical analysis, predictive modeling, and quantitative and qualitative research methods. Highly skilled at communicating scientific and statistical information to diverse audiences; experienced in presenting and teaching. Thrives as a team player in a goal-oriented environment.


Summary of Qualifications

  • Designs and plans research studies using multiple methodologies
  • Analyzes large sets of quantitative and/or qualitative data
  • Coordinates projects
  • Writes and edits literature reviews and research reports
  • Presents findings in talk or poster form


Technical Skills

  • Analytics: Excel, SPSS, SAS, R, Tableau, Lavastorm Analytics Engine
  • Relational Databases: Access, SQL (SQL Server Management Studio, Teradata SQL Assistant, Oracle SQL Developer)
  • Project Management: MS Project Manager, Slack, GitHub
  • Communications: PowerPoint, Prezi, Word, Visio, Publisher, Adobe Acrobat, Skype, GoToMeeting
  • Research: Survey Monkey


Professional Experience

Senior Research Analyst, Comcast                                                                                               2015-present

  • Demonstrates relationships between back-office errors and near-term customer responses
  • Recommends statistical methodology for use during analyses
  • Creates metrics and dashboards
  • Establishes end-to-end data processes including
    • Identifying needed data (data discovery)
    • Obtaining data from SQL databases using Lavastorm, SAS, or native platform (ETL)
    • Visualizing and analyzing data in Lavastorm, Excel, Tableau, and/or SAS Enterprise Guide
    • Presenting results
  • Works in development-style environment (incorporates features of Agile with Scrum)


Research Analyst Coordinator/Lead Research Analyst,

Performance Evaluation, Analysis, and Research, Community Behavioral Health (CBH)                                                                                                                                                                                                                                            2011-2015

  • Department lead on data taxonomies for analytics projects
  • Retrieved data from warehouse using SQL queries
  • Analyzed data in Excel and SPSS
  • Reported on research activity outcomes for research- and clinically-oriented audiences
  • Wrote and edited state reporting documents
  • Participated in workgroups and departmental activities such as journal discussions
  • Instructed/mentored junior colleagues in statistical analysis
  • Coordinated Pay-for-Performance, a highly regarded program evaluation initiative, for 2 years
    • Maintained appropriate organizational materials for the project
    • Managed 11 small teams, each focusing on a specific service type
    • Gathered relevant information from clinical, administrative, and financial departments
    • Oversaw preparation of materials to be used internally and in reports to providers
    • Presented information to providers via face-to-face and Internet-based meetings
    • Presented information to key stakeholders, including CBH’s CEO and the Commissioner of Philadelphia’s Department of Behavioral Health and Intellectual disAbilities Services (DBHIDS)
    • Collated data for follow-up requests
    • Facilitated interface of Pay-for-Performance with other CBH and DBH units
    • Prepared project plans and executive summaries


Contracted Science Writer, Treatment Research Institute                                                     2011

  • Researched literature on the neurobiology of addiction
  • Wrote a document for parents about the effects of teen addiction on the brain
  • Edited documents based on feedback from scientists in the field


Adjunct Faculty, Georgian Court University                                                                                 Fall 2010

  • Taught cognitive psychology and statistics
  • Conducted class in hybrid (live-telecommuting-online) setting
  • Maintained course website and archived materials using ANGEL course management system


Lab Coordinator, Princeton University                                                                                      2009-2010

  • Supervised graduate teaching assistants
  • Managed budget
  • Designed instructional materials and tests
  • Presented research in seminar setting


Graduate Researcher, City College of New York                                                                           2008-2010

  • Designed and constructed neural network models
  • Wrote and defended doctoral dissertation
  • Researched articles on topics in cognitive psychology and neuroscience
  • Analyzed data using SPSS
  • Wrote literature reviews and research reports


Guest Faculty, Sarah Lawrence College                                                                                       Spring 2008

Adjunct instructor, Lehman College                                                                                            Fall 2007

Guest Faculty, Sarah Lawrence College                                                                                       2006-2007

CUNY Writing Fellow, College of Staten Island                                                                               2004-2006

Graduate Researcher, City College of New York                                                                           2003-2007

Graduate Teaching Fellow, City College of New York                                                                2001-2004

Lab Assistant, Event-Related Potentials Laboratory, City College of New York                  2000-2003





Graduate Center, City University of New York, New York, NY

Ph.D., Psychology/Cognitive Neuroscience, 2010

M.Phil., Psychology,  2005


City College of New York, New York, NY 

M.A., Psychology, 2004


College of St. Joseph, Rutland, VT

B.A., Major: Psychology, Minor: English, 2000


Papers and Posters


Robare, R.J. (2011). Cognition in “The Naval Treaty”: A cognitive neuroscientific explanation of some of Sherlock Holmes’ genius. The Serpentine Muse 27, 1.

Robare, R.J. (2010). Semi-supervised learning for connectionist networks. Unpublished doctoral dissertation. Graduate School and University Center, City University of New York.

Robare, R. J. (2007, July). Interactions between data labeling and ratio of Hebbian to error-driven learning in mixed-model networks. Poster session presented at ICCM 2007: International Conference on Cognitive Modeling, Ann Arbor, MI.

Robare, R. J. (2005, November). Parameters for semi-supervised learning in neural network models of cognition. Poster session presented at Dynamical Neuroscience XIII: Computational Cognitive Neuroscience, Washington, DC.

Robare, R. J. (2004). Generalization and discrimination in a semantic network trained with semi-supervised learning. Proceedings of the Sixth International Conference on Cognitive Modeling (pp. 412-413). Mahwah, NJ: Lawrence Erlbaum.


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