Summary
Josephine Tetteh is a biostatistician and computational mathematician with eight years of experience applying statistical and deep-learning methods to infectious disease modeling, including COVID-19 and antimicrobial resistance. Currently a postdoctoral researcher at DKFZ, she combines a PhD in Computational and Applied Mathematics with hands-on work building high-resolution mathematical models and deep-learning-based parameter estimation. Her background spans academic research, freelance policy-focused data analysis on food security and gendered time-use during the pandemic, and teaching advanced mathematics courses. Based in Greater Montreal, she brings a rare blend of theoretical rigor and practical impact—translating complex models into policy-relevant insights and reproducible analyses.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computational and Applied Mathematics, Doctor of Philosophy - PhD, Computational and Applied Mathematics at Goethe University
Master's degree, Mathematics, Master's degree, Mathematics at Stellenbosch University
Master’s Degree, Mathematical Science, Master’s Degree, Mathematical Science at African Institute of Mathematical Sciences,South Africa
Bachelor’s Degree, Mathematics and Statistics, Bachelor’s Degree, Mathematics and Statistics at University of Cape Coast
English, ga / adangme, German, French