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DIMMS
Disease-Informed Modelling, Methods, and Systems Lab
"Bridging mathematical modeling with real-world disease solutions"
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Mathematical Biology
Population dynamics, SIR models, and differential equations transforming into biological networks
Machine Learning & AI
Disease-informed neural networks and deep learning for pattern recognition
Statistical Methods
MCMC methods, time series analysis, and Bayesian networks
Multi-timescale Analysis
From molecular nanoseconds to population-level years
Spatial Epidemiology
Disease spread across regions with socioeconomic factors
Immunity Modeling
Immune response dynamics and vaccination strategies
Our Diverse Research Team
Prof. A. Woldegerima
Lab Director
Dr. Q. Deng
Postdoc
Dr. A. Omame
Postdoc
F. Al Hashimi
PhD Candidate
A. Alam Din
PhD Student
T. Dao
MA Student
Joe
MA Student
M. Pundir
Undergrad
Real-World Impact
4
Disease Models
7
Countries
15+
Publications
∞
Lives Impacted
DIMMS
Math Bio
ML/AI
Statistics
Multi-scale
Spatial
Immunity
Advancing global health through mathematical innovation