Aside

Resume

Contact Information

Expertise

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Abhik Roy

Education

Western Michigan University

Ph.D. in Program Evaluation

  Kalamazoo, MI

N/A

Michigan Technological University

M.S. in Mathematics

  Houghton, MI

N/A

West Virginia Wesleyan College

B.S. in Mathematics

  Buckhannon, WV

N/A

Professional Experience

Assistant Professor

West Virginia University

  Morgantown, WV

2023 - 2016

  • Contributed to peer-reviewed publications by authoring and submitting scholarly papers.
  • Conducted rigorous evaluations of a variety of programs, projects, and grants, contributing to their optimization and effectiveness.
  • Designed and implemented dynamic and interactive surveys using HTML,CSS, and JavaScript in the Qualtrics platform.
  • Extracted, wrangled, and cleaned data from various remote sources; developed a range of static, active, and interactive visualizations for public reporting and/or dissemination to clients, and built web apps in Shiny.
  • Instructed classes in evaluation, measurement, research methods, and survey design with an emphasis on the application of data science techniques.
  • Mentored Masters and Doctoral students, guiding their academic pursuits and research activities.

Data Analyst

University of Kansas

  Lawrence, KS

2016 - 2014

  • Authored detailed evaluation reports, catering to the requirements of diverse stakeholders.
  • Conducted research and deployed predictive statistical models aimed at enhancing student retention and graduation efforts.
  • Developed web applications using Shiny and Tableau, facilitating extraction, summarization, and visualization of data from the organization’s Oracle database.
  • Spearheaded comprehensive qualitative, quantitative, and mixed-methods studies and delivered presentations on findings.

Select Evaluation Work

Lead Program Evaluator & Methodologist
Healthy Start Initiative (HRSA-19-049 Total Award: $5,470,000)

West Virginia University Research Corporation

  Morgantown, WV

Current - 2023

  • Building valid and reliable survey instruments to assess participant experiences.
  • Implementing process, monitoring, and impact evaluations of programmatic activities.
  • Utilizing mixed methods designs to study participant data.

Lead Program Evaluator & Mixed Methods Ananlyst
Teaching Science with Computational Thinking: Preparing Preservice Elementary Educators of the Future STEM Workforce (2019-NSF 2142274 Total Award: $294,958.00)

West Virginia University

  Morgantown, WV

Current - 2022

  • Applying mixed methods text analysis of written and interview data using thematic analysis and various machine learning methods.
  • Constructing and validating survey instruments used to assess progress and programmatic impact.
  • Implementing process and impact evaluations of program activities.

Program Evaluator & Data Scientist
WVCTSI: West Virginia Clinical and Translational Science Institute (2017-NIH 2U54GM104942-02 Total Award: $20,000,000)

West Virginia University

  Morgantown, WV

2022 - 2017

  • Analyzed large data sets using frequentist and Bayesian methods.
  • Conducted local and multi-site mutli-cluster evaluation studies.
  • Developed/validated items and distributing customized Qualtrics surveys built with CSS and Javascript.
  • Mentored future graduate social data scientists.
  • Pulled, wrangled, and visualized secondary data in R.

Lead Program Evaluator
GAUSSI: Generating, Analyzing, and Understanding Sensory and Sequencing Information: A Trans-Disciplinary Graduate Training Program in Biosensing and Computational Biology (2017-NSF 1450032 Total Award: $3,013,779)

Colorado State University

  Fort Collins, CO

2020 - 2017

  • Conducted process evaluations of multiple grant related programs.
  • Developed and distributed customized Qualtrics surveys built with CSS and Javascript.
  • Directed unstructured and semi-structured interviews and focus groups assessing participant experiences.
  • Implemented mixed methods evaluations to study program impacts on students and faculty.
  • Pulled, wrangled, and visualized secondary data.

Select Presentations and Talks

Best of Both Worlds: Affordances of Mixing Machine Learning and Qualitative Content Analysis

American Educational Research Association Annual Meeting

  San Diego, CA

2022

These Aren’t Random Words Just Strung Together?: Using Machine Learning and Pretty Visualizations to Discover Topics in Articles.

American Evaluation Association Annual Conference

  virtual

2020

Why Is It That Writers Write but Fingers Don’t Fing? Using Machine Learning and Lexemes to Make Sense of Nonsense.

American Evaluation Association Annual Conference

  Minneapolis, MN

2019

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Last updated on August 13, 2023