Curriculum Vitae
Dr. Itauma Itauma
Data Scientist | Professor | Researcher | Academic Leader
Associate Professor of Data Science and Analytics
Harrisburg University of Science and Technology
Academic Appointments
Associate Professor of Data Science and Analytics
Harrisburg University of Science and Technology 2026–Present
Teaching, research, doctoral mentorship, and interdisciplinary scholarship in data science, analytics, artificial intelligence, and advanced quantitative methods.
Current academic responsibilities include:
- Teaching ANLY 735 – Research Seminar in Predictive AI
- Doctoral mentorship through ANLY 799 – Doctoral Studies
- Developing an interdisciplinary research program in artificial intelligence and analytics
- Supporting doctoral and graduate research
- Advancing reproducible and collaborative research practices
Faculty / Division Chair / Assistant Professor of Analytics
Northwood University 2020–2026
- Led curriculum coordination, faculty collaboration, and program assessment initiatives
- Supported graduate programs across analytics, business, and doctoral education
- Contributed to enrollment management, student retention, and continuous improvement
- Mentored faculty and graduate students
- Supervised doctoral dissertation research
- Taught graduate and doctoral courses in analytics, artificial intelligence, leadership, and business decision-making
- Supported strategic academic and operational initiatives
Data Science Consultant
LearningMate 2025
- Collaborated with interdisciplinary teams to develop data-informed digital learning solutions
- Supported AI-enabled educational tools and workflows aligned with student learning outcomes
- Contributed to program assessment and continuous improvement initiatives
Faculty, Department of Computer Science
Wayne State University 2016–2020
- Delivered instruction in data analytics, SQL, programming, and machine learning
- Guided student projects involving data analysis, database systems, and predictive modeling
- Conducted research using large datasets and high-performance computing
Faculty / Technical Program Facilitator, Data Analytics & Data Science
Southern New Hampshire University 2016–2019
- Taught courses in data analytics, SQL, and business intelligence
- Supported development of data-driven decision-making skills
- Contributed to applied analytics and industry-aligned curriculum
Graduate Teaching & Research Assistant
Wayne State University, Department of Computer Science 2013–2015
- Conducted machine learning and image-analysis research using high-performance computing clusters
- Supported instruction and assessment in computer science courses and laboratories
Education
Executive Master of Business Administration
Quantic School of Business and Technology 2025
Focus areas included strategic leadership, organizational management, operations, and data-driven decision-making.
Data Science Fellow
University of Pennsylvania Center for Learning Analytics 2025
Certificate in Data Science Methods for Digital Learning Platforms.
Program supported by the Institute of Education Sciences, U.S. Department of Education.
Harvard Business Analytics Program
Harvard University 2020
Executive Graduate Certificate in Business Analytics.
Areas of study included digital strategy, quantitative analysis, leadership, data science systems, and data-driven marketing.
PhD in Instructional Design and Technology
Keiser University 2019
Dissertation: Pre-College Factors That Predict Intentions of Minority Females to Enroll in College STEM Programs
Graduated with a 4.0 GPA.
Master of Science in Computer Science
Wayne State University 2015
Focus: Big Data Analytics
Thesis: Unsupervised Learning and Image Classification in High-Performance Computing Clusters
Master of Science in Computer Engineering
Istanbul Technical University 2012
Focus: Human–Robot Interaction
Thesis: Gesture Imitation Learning in Human-Robot Interaction
Bachelor of Engineering in Electrical Engineering
University of Ilorin 2004
Concentration: Computer and Control Engineering
Thesis: Microprocessor Driven Traffic Light for a Dual Cross-Junction Road
Research Areas
My research program is organized around four interconnected streams:
AI, Data Science & Education
Artificial intelligence · Predictive AI · Generative AI · Agentic AI · AI literacy · Human–AI collaboration · Learning analytics
Health & Wellness Analytics
Health informatics · Sleep · Physical activity · Metabolic health · Psychological wellness · Epidemiology · Population health
Advanced Quantitative Methods
Structural equation modeling · Bayesian statistics · Machine learning · Predictive modeling · Meta-analysis · Multivariate analysis
Science of Research & Emerging AI
Bibliometrics · Research synthesis · Open science · Reproducible research · Retrieval-augmented generation · Agentic AI
Academic Leadership
My academic leadership experience includes:
- Graduate program leadership
- Curriculum development and assessment
- Faculty mentorship and evaluation
- Student success and retention
- Strategic planning
- Enrollment management
- Program review and quality improvement
- Dissertation chairing and supervision
- Interdisciplinary collaboration
- Data-informed decision-making
Doctoral Mentorship
Dissertation Chair
DeVos Graduate School of Management, Northwood University 2023–Present
Mentored doctoral researchers in:
- Research problem development
- Literature review
- Theoretical framework development
- Research alignment
- Quantitative methodology
- Statistical analysis
- Scholarly writing
- Dissertation defense preparation
- Conference presentation
- Publication development
Doctoral Scholar
Dr. Shemika S. Miller
Dissertation:
Miller, S. S. (2024). A systematic review and meta-analysis of the impact of leader-member exchange (LMX) quality on employee turnover intentions [Doctoral dissertation, Northwood University].
Explore My Mentorship Approach →
Selected Peer-Reviewed Publications
Srikanth, S., & Itauma, I. (2025)
Transforming project management through data analytics and generative AI. Empirical Economics Letters, 24(September Special Issue 1), 93–109.
Itauma, O., & Itauma, I. (2024)
AI scribes: Boosting physician efficiency in clinical documentation. International Journal on Bioinformatics & Biosciences, 14(1), 9–18.
Itauma, O., Abara, C., Gonullu, D., Fee, M., Itauma, I., & Awonuga, A. (2020)
Contraceptive choices by weight status among women in the United States: An analysis of the 2015–2017 National Survey of Family Growth. Fertility and Sterility, 114(3), e173–e174.
Books & Scholarly Contributions
Machine Learning Using Python
Itauma, I. (2024).
An applied introduction to machine learning using Python.
Unsupervised Learning and Image Classification in High-Performance Computing Clusters
Itauma, I., Aslan, M. S., Chen, X. W., & Villanustre, F. (2016).
In Big Data Technologies and Applications (pp. 387–400). Springer International.
Selected Conference Leadership & Service
American Educational Research Association
Chair, AERA Annual Meeting — 2026
Session: Teacher Leadership, Wellbeing, and Retention
Discussant, AERA Annual Meeting — 2026
Session: Preparing Future Educators in the Age of AI
International Business Analytics Conference
Moderator — 2024
Track: Analytics in Business Education
Selected Presentations
- Technology Integration for Diverse Learners: Enhancing Engagement and Accessibility — RCEP UNESCO Symposium, 2024
- Factors Predicting Mathematics and Science Motivation among Minority Female High School Students — AERA Annual Meeting, 2024
- Leveraging Large Language Models for Predictive Analytics and Code Generation Using ChatGPT and Gemini API — International Business Analytics Conference, 2024
- Data Management & Analytics Simplified for the New Normal in the Health System — Hospital Data Management & Analytics Conference, 2020
- Conducting Exploratory Data Analysis in Educational Research Using HPCC Systems — HPCC Systems Engineering Summit, 2018
- Unsupervised Learning and Image Classification in High Performance Computing Clusters — HPCC Systems Engineering Summit, 2016
Technical & Analytical Skills
Programming & Data
Python · R · SQL · SAS · Stata
Statistical & Analytical Tools
JASP · Jamovi · SAS · Stata · R
Visualization & Business Intelligence
Power BI · Tableau · Excel
Research & Reproducibility
Git · GitHub · Quarto · OSF
Research Synthesis
OpenAlex · Bibliometrix · VOSviewer
Awards & Recognition
- Learning Analytics in STEM Education Research (LASER) Scholar, National Science Foundation — 2023
- Certificate of Appreciation, Northwood University — 2023
- Harvard Business Analytics Program Certificate of Excellence — 2020
- HPCC Systems Community Innovator — 2015–2020
- Best Reviewer, CS Student Workshop, Istanbul — 2011
- Bilateral Education Scholarship, Nigerian Government — 2007–2012
Languages
English — Native Turkish — Highly proficient German — Proficient