Olawumi Roseline Olasunkanmi

Doctoral Candidate in Computer Science
University of North Carolina at Chapel Hill
Expected Graduation: May 2026

📧 roolasunkanmi@unc.edu | 📄 CV | 💼 Google Scholar | [in] LinkedIn | 𝕏 Twitter/X

About Me

I am seeking a teaching-focused faculty position at universities or liberal arts colleges beginning Fall 2026. My research focuses on explainable AI for biomedical knowledge graphs, and I have extensive experience teaching computer science to diverse learners across 300+ students in Nigerian and American educational systems.

Quick Links:

• Teaching Experience & Philosophy — Courses taught, pedagogical approach, student mentorship
• Research & Publications — Current projects, publications, ongoing collaborations
• Awards & Recognition — Fellowships, travel awards, honors
• Professional Service — Memberships, reviewing, leadership roles

Education

University of North Carolina at Chapel Hill

• Ph.D. in Computer Science (Expected May 2026)
• M.Sc. in Computer Science (May 2023)
• Dissertation: Knowledge Graph Augmentation with Data Integration and Explainable Edge Inference
• Advisors: Stanley Ahalt & Harlin Lee

Ladoke Akintola University of Technology, Nigeria

• B.Tech. in Computer Science, First Class Honors (GPA: 4.52/5.00, 2017)

Teaching at a Glance

Experience: 300+ students across programming, data structures, data science, and machine learning

• Introduction to Data Science (DATA110)
• Introduction to Scientific Programming (COMP116)
• Data Matters Summer Program (Python & Deep Learning)
• Programming Fundamentals, Discrete Mathematics, Linear Algebra
• Python and Machine Learning (AI Training Program)

Teaching Philosophy:
My teaching centers on (1) relevance drives engagement, (2) inclusion requires intentional design, and (3) productive struggle builds confidence.

Learn more about my teaching..

Research Highlights

Focus Areas:

• Biomedical Knowledge Graphs & Data Mining
• Explainable Artificial Intelligence
• Machine Learning Applications in Healthcare

Recent Publications:

• Olasunkanmi, O.R., et al. (2025). “RELATE: Relation Extraction in Biomedical Abstracts with LLMs and Ontology Constraints.”
• Olasunkanmi, O.R., et al. (2024). “Explainable Enrichment-Driven Graph Reasoner (EDGAR).” IEEE Big Data Conference

View full research & publications..

Technical Skills

Programming: Python, R, SQL, JavaScript, PHP
ML/AI Frameworks: PyTorch, TensorFlow, scikit-learn, Keras
Data Science: pandas, NumPy, NetworkX, Neo4j (Graph Databases)
Web Development: React, HTML/CSS, WordPress, Joomla

📧 For hiring committees: Application materials (teaching statement, research statement, complete CV) available upon request at roolasunkanmi@unc.edu

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Last updated: November 2025