Eddymurphy Akwiwu had his first degree in Industrial Mathematics at Imo State University, Nigeria. He holds two Masters degrees in Mathematical Sciences and Computational Engineering from the African Institute for Mathematical Sciences and Lappeenranta University of Technology, Finland respectively. During his master degrees, he worked on parameter identifiability of epidemiological models using Bayesian methods, and discrete modelling & analysis of contact networks in epidemic models. He is currently doing a PhD on Bayesian methods in modelling cancer screening at VU University Medical Center, Amsterdam. This project aims to develop probabilistic methods for multi-state models with applications to cervical cancer screening and colorectal cancer screening by simultaneously estimating the durations between health states and the accuracy of screening tests from individual-level screening and treatment data, explicitly addressing adequate estimation of uncertainty. In addition, he will develop and teach a course in Bayesian Statistics.
Zakile A. Mfumbilwa studied Statistics at The University of Dodoma and received his Master of Statistics with specialization in Biostatistics from Hasselt University. He is a SAS Certified Base Programmer for SAS 9, and GradStat Fellow of Royal Statistical Society. Currently, he is a PhD researcher at VU University Medical Center, on the TANGO project. This project aims to assess long-term health outcomes and cost-effectiveness of using whole genome sequencing (WGS) result (tumor load) as well as imaging data in the decision to provide immunotherapy in advanced non-small cell lung cancer (NSCLC) and melanoma patients, compared to current practice of immunotherapy treatment.