Olawumi Olasunkanmi

Computer Science

Olawumi Roseline
Olasunkanmi

Doctoral Candidate · University of North Carolina at Chapel Hill
Expected Graduation: May 2026

Seeking a teaching-focused faculty position beginning Fall 2026. My research centers on explainable biomedical knowledge graph augmentation, and I bring experience teaching 300+ students across Nigerian and American educational systems.

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Teaching

Courses taught, pedagogical approach, student mentorship

Research

Publications, posters, mentorship, collaborations

Awards

Fellowships, travel awards, honors

Professional Service

Memberships, reviewing, leadership roles

News

Latest Updates

May 2026

Upcoming

Ph.D. Dissertation Defense

Defending my dissertation on Knowledge Graph Augmentation with Data Integration and Explainable Edge Inference at UNC Chapel Hill.

2026  

On the Market

Faculty Job Search

Actively seeking teaching-focused faculty positions (Teaching Professor, Instructor) beginning Fall 2026. Open to universities, liberal arts colleges, and community colleges. Get in touch →

2025  

Publication

RELATE Paper

Published RELATE: Relation Extraction in Biomedical Abstracts with LLMs and Ontology Constraints, a biomedical NLP pipeline for triple extraction from PubMed abstracts.

Dec 2024

Publication

EDGAR at IEEE Big Data

Presented the Explainable Enrichment-Driven Graph Reasoner (EDGAR) at the IEEE Big Data Conference.

2023  

Degree

M.Sc. in Computer Science

Completed my Master's degree at UNC Chapel Hill while continuing into the Ph.D. program.

Education

Academic Background

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

B.Tech. in Computer Science, First Class Honors
GPA: 4.52 / 5.00 (2018) · Ogbomoso, Nigeria

Teaching

Teaching at a Glance

Experience spanning programming, data structures, data science, and machine learning across diverse student populations.

TA Introduction to Data Science (DATA 110)

TA Introduction to Scientific Programming (COMP 116)

TA Data Matters Summer Program (Python & Deep Learning)

Substitute Lecturer Programming Fundamentals

Substitute Lecturer Discrete Mathematics & Linear Algebra

Instructor Python and Machine Learning Training Program

Teaching Philosophy

1

Relevance drives engagement — connecting abstract concepts to real problems students care about

2

Inclusion requires intentional design — creating classrooms where every student belongs

3

Productive struggle builds confidence — challenging students at the right edge of their ability

300+ students taught across
two countries

Research

Research

Building tools for explainable, knowledge-driven biomedical AI.

Biomedical Knowledge Graphs Data Mining Explainable AI ML for Healthcare NLP

Research Assistant

— Renaissance Computing Institute (RENCI), UNC Chapel Hill

— Ladoke Akintola University of Technology, Nigeria

Publications

2025

RELATE: Relation Extraction in Biomedical Abstracts with LLMs and Ontology Constraints

Olasunkanmi, O.R., et al.

2024

Explainable Enrichment-Driven Graph Reasoner (EDGAR)

Olasunkanmi, O.R., et al. — IEEE Big Data Conference

See more on Google Scholar →

Poster Presentations

Enhancing KG Augmentation — Doctoral Forum, SIAM International Conference on Data Mining (SDM25), Virginia

Enhancing Knowledge Graph Inference through Enrichment and Grouping — Data Science Day, School of Data Science and Society, UNC Chapel Hill

Information Extraction for Graph Generation & Inference (A Case Study of COVID-19 KG) — CRA-WP Grad Cohort for Women, San Francisco

Deep Neural Network-Based Approach to Skin Cancer Classification — 2nd Black in AI Workshop, NeurIPS 2018, Montreal

Student Mentorship

Co-supervised five undergraduate research projects in Data Mining and Machine Learning.

Undergraduate Project Outcome: Abdulquadri Adegbiji — Classification of Chronic Kidney Diseases

Recognition

Awards & Fellowships

2024

NSF Travel Award — MLSystem

2024

NSF Travel Award — IEEE BigData

2024–25

ACM Travel Award — PEARC Conference

2023

WiML Registration Award — NeurIPS

2021

Diversity & Inclusion Fellowship — UNC Graduate School

2020

Top 30% Selected Participant — Cornell–Maryland–Max Planck Pre-doctoral School (CMMRS)

2020

Top 16% Selected — "Solving the Algorithm: Women in Machine Learning" Conference

2019

Full Sponsorship — PyCon Africa, Ghana

2018

Full Travel Support — Black in AI Workshop, NeurIPS

2018

Nigerian Women TechSters Fellowship — Web & Mobile Application Development

Service

Professional Service

Memberships

ACM Women in Machine Learning (WiML) Black in AI (BAI) IEEE IAENG

Session Chair

Practice and Experience in Advanced Research Computing (PEARC), Application & Software Track 6, PEARC25, Columbus, Ohio (2025)

Peer Reviewer

IEEE ICECET, Paris (2025)

Bioinformatics Open Source Conference (BOSC), Liverpool, UK (2025)

NeurIPS Position Papers, San Diego (2025)

IEEE CAMSAP25, Dominican Republic (2025)

Technical Program Reviewer PEARC24, Providence, Rhode Island (2024)

Volunteering & University Service

NeurIPS Logistics Team (2023)

WiML Poster Reviewer, NeurIPS (2023, 2024, 2025)

WiML Poster Mentor (2020)

Panelist, "How to make the most of PEARC," PEARC25, Columbus, Ohio (2025)

Graduate & Professional Student Government Representative, UNC Student Technology Council (Fall 2023 – Spring 2025)

Skills

Technical Skills

Programming

Python R SQL JavaScript PHP

ML / AI

PyTorch TensorFlow scikit-learn Keras

Data Science

pandas NumPy NetworkX Neo4j

Web Dev

React HTML/CSS WordPress Joomla

Get in Touch

Application materials including teaching statement, research statement, and complete CV are available upon request.

roolasunkanmi@unc.edu