Olawumi Olasunkanmi is a PhD candidate and graduate research assistant at UNC-Chapel Hill with eight years of experience applying machine learning and graph neural networks to healthcare and social computing problems. She blends hands-on research (PyTorch, Neo4j, graph networks) with teaching and curriculum development, having supported ML courses and supervised student projects. Her background includes building data-driven web tools and large-scale behavioral experiments, plus product-focused crowdsourcing systems for health and market research. Known as a passionate trainer and collaborator, she brings strength in translating empirical behavioral data into sustainable operational models for improved healthcare delivery.
8 years of coding experience
CMMRS Student, Cornell, Maryland, Max Planck Pre-doctoral School (CMMRS 2020)., CMMRS Student, Cornell, Maryland, Max Planck Pre-doctoral School (CMMRS 2020). at Max Planck Institute for Software Systems
Bachelor of Technology (B.Tech.), Computer Science, First Class Honours- 4.52/5.0, Bachelor of Technology (B.Tech.), Computer Science, First Class Honours- 4.52/5.0 at Ladoke Akintola University of Technology
Nigeria Certificate in Education, Computer Science and Biology, 4.11/5.0, Nigeria Certificate in Education, Computer Science and Biology, 4.11/5.0 at Emmanuel Alayande College of Education, Oyo
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of North Carolina at Chapel Hill
Contributions:3 commits, 2 pushes, 1 branch in 1 year 11 months
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