Kwame Owusu Edusei
PhD Candidate
Academic Biography
Kwame Owusu Edusei is a graduate researcher working on stochastic models and data-driven inference for complex systems. He contributes to seminars, coding workshops, and collaborative modelling projects at NIMS.
Research Focus
Scientific Computing & Industrial Modelling
Doctoral research investigates phase transitions in interacting particle systems with applications to epidemic and climate modelling.
Key Academic Milestones
NIMS Research Symposium
Presented poster results on conditional Curie-Weiss models to faculty and visiting researchers.
Advanced Coursework
Completed core training in scientific computing, stochastic analysis, and industrial modelling.
Selected publications
2 papers
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Inference for Interacting Particle Systems
NIMS Working Papers
Sample abstract illustrating how publication previews appear on person profiles.
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Phase Transition in Conditional Curie-Weiss Models
Stochastics and Applications
Sample abstract illustrating how publication previews appear on person profiles.