Resume

Clinical Data Scientist · Learning Analytics Researcher · Educator

Raymond Opoku

Gainesville, FL, USA

LinkedIn

Experience

  • Jul 2026 – Present

    Data Scientist IV

    Quality and Patient Safety Initiative (QPSi), College of Medicine, University of Florida · Gainesville, FL

    • Data Core Lead: Lead the Data Core of the QPSi Incubator and manage three data scientists. Lead the revamp of the team's data request intake process.
    • Security and Compliance Administrator: Serve as QPSi's security and compliance administrator and provision all Epic build access for the team.
    • HiPerGator Administrator: Administer QPSi's allocation on UF's HiPerGator supercomputer, including user access, storage and compute for clinical AI workloads.
    • Predictive Model Validation: Validate and monitor Epic Cognitive Computing predictive models in production, and track live alerts across POC, TST and PROD environments.
    • AI Governance: Lead the development of AI governance standards, ensuring safety and accountability for machine learning models deployed in clinical settings.
    • Host an AI Networking Forum attended by 600+ physicians, administrators and students to foster cross-disciplinary innovation.
  • Aug 2022 – Jul 2026

    Data Scientist III

    Quality and Patient Safety Initiative (QPSi), College of Medicine, University of Florida · Gainesville, FL

    • Enterprise Strategy: Facilitated high-stakes strategy sessions at the UF Health Readmission Summit, guiding C-suite leadership in defining data-driven interventions for patient access and readmission reduction.
    • Epic Solutions Architect: Used certified expertise in Epic Cogito, Caboodle and Clarity to architect automated data pipelines that replaced manual reporting, bridging raw EHR data and operational dashboards.
    • Predictive Analytics Lead: Developed the "Meds Filling" predictive framework, integrating pharmacy data sources (Willow and Surescripts) to flag non-adherent patients for clinical intervention.
    • Collaborated with researchers and clinicians to design and implement AI-driven solutions for complex patient safety measures.
    • Used advanced SQL and SSMS to extract, clean and validate large-scale clinical datasets for downstream statistical analysis.
    • Designed and maintained automated reporting solutions that provided actionable insights for hospital quality improvement initiatives.
  • Aug 2022 – Present

    Adjunct Professor

    College of Education, University of Florida · Gainesville, FL

    • Taught and mentored students in Designing Integrated Media Environments, fostering innovative media design projects.
    • Integrated emerging technology trends into the curriculum to enhance student understanding and creativity.
    • Led workshops and seminars, significantly improving student engagement and performance.
  • Sep 2022

    Consultant

    Gleim Inc. · Gainesville, FL

    • Provided consultancy to enhance user experience and learning outcomes using educational analytics techniques and instructional design principles.
    • Collaborated with research teams to evaluate educational strategies and design technology-driven interventions for improving learner engagement.
    • Recommended data-driven decision-making processes to optimize the company's digital platforms.
  • Jun 2020 – Aug 2022

    Data Management Analyst II

    UF Online, University of Florida · Gainesville, FL

    • Improved data quality through data mining, SQL manipulation and statistical analyses.
    • Developed predictive models for student retention, persistence and graduation outcomes.
    • Conducted research on student success and federal refugee resettlement program assessments.
  • Jan 2020 – Jun 2020

    Reporting and Data Analyst

    Office of Institutional Research, Dakota State University · Madison, SD

    • Created dashboards and self-service reports to satisfy institutional data needs.
    • Analyzed and interpreted data from multiple sources for diverse stakeholders.
  • Sep 2017 – Jan 2020

    Research and Data Specialist

    Office of Institutional Research, South Dakota State University · Brookings, SD

    • Designed Tableau dashboards for enrollment, NSSE and Wokini projects.
    • Administered and analyzed institutional surveys to improve student outcomes.

Education

  • 2025

    PhD in Educational Technology

    University of Florida

  • 2017

    MS in Data Science

    South Dakota State University

  • 2017

    MS in Economics

    South Dakota State University

  • 2014

    BA in Economics and Mathematics

    University of Cape Coast, Ghana

Certifications

  • Epic Cogito
  • Epic Caboodle
  • Epic Clarity

Skills

  • Python
  • R
  • SQL
  • SAS
  • STATA
  • SPSS
  • Tableau
  • Cognos
  • Qualtrics

Grants

Selected publications

Selected presentations

  • 2025

    Black middle schoolers' artificial intelligence self-efficacy and outcome expectations in a summer STEM camp

    Opoku, R. A., Jones, T., Wusylko, C., Haire, G., Lin, C. H., Adhami, N., King, N., MacFadden, B., Waisome, J., Perez, V., Abramowitz, B. and Killingsworth, S. NARST 2025 Annual International Conference, Washington, D.C., and AERA 2025 Annual Meeting, Denver, Colorado.

  • 2023

    Not THAT Urban Dictionary: Enhancing online learning with dictionary-based sentiment

    Opoku, R. A., Ma, C. and Moore, R. AECT 2023 Annual International Conference, Orlando, Florida.

  • 2023

    Who's winning: A review of student outcomes in game-based learning

    Opoku, R. A., DeLeon, J. and Moore, R. AECT 2023 Annual International Conference, Orlando, Florida.

  • 2022

    A systematic review of the relationship between learning analytics and course assessment

    Moore, R., Miller, C. and Opoku, R. A. AECT 2022 Annual International Conference, Las Vegas, Nevada.

  • 2022

    Online computer science dropout: A qualitative study on why online students leave the UF Online Computer Science program

    Opoku, R. AECT 2022 Annual International Conference, Las Vegas, Nevada.

Posters

  • 2024

    Balancing the scales of care: Innovating fair predictions for postoperative sepsis with AI

    Opoku, R. A., Williams, R., Nickerson, P., Magoc, T., Tighe, P., Pebe, L., Guo, W., Gupta, S. and Lafitte, C. AI4Health Annual Conference, Orlando, Florida.

  • 2023

    Mind the graph: Using graph AI to understand latent care pathways in surgical patients at scale

    Opoku, R. A. 2023 IHI Annual Conference, Orlando, Florida.

Invited talks and guest lectures

  • 2026

    Fair AI in clinical care: Responsible use from principle to practice

    Lightning talk, UF College of Medicine AI Day, Gainesville, FL (October 2026).

  • 2025

    Artificial intelligence in medicine: Hope, hype and reality

    Guest lecture, Frontiers of AI (IDS 1703), University of Florida, virtual.

  • 2025

    Artificial intelligence in K-16 STEM education

    Opoku, R. A., Jones, T. and Antonenko, P. Guest lecture, EDSC 9870, Georgia State University, virtual (May 2025).

  • 2023

    Let's build together: Techniques and approaches for engaging stakeholders in AI development

    Empowering Learners for the Age of AI 2023 Global Online Conference (ELAi), virtual.

  • 2022

    Enhancing user experience and learning outcomes: Collaborative research in educational analytics and instructional design

    Opoku, R. A., Lu, J. and Lazarevic, B. Gleim Inc., Gainesville, FL.

Awards and service

  • Dean's Award for Academic Excellence, Faculty of Social Sciences, University of Cape Coast, Ghana (2013, 2014)
  • President, Economics Graduate Student Association, South Dakota State University (2016–2017)
  • Volunteer Editor, Wikimedia Ghana