🎓Donald Zvada is a PhD student in Statistics and Informatics at Trinity College Dublin, funded by the Research Ireland Frontiers for the Future Programme (2025). His doctoral research focuses on T-DIET — developing novel statistical methods for analysing longitudinal dietary patterns and their association with health outcomes, under the supervision of Assistant Professor Silvia D’Angelo.
He holds an MSc in Mathematical Sciences (Distinction) from AIMS South Africa and Stellenbosch University, and a First-Class Honours BSc in Operations Research and Statistics from NUST, Zimbabwe — graduating as the Overall Best Graduating Male Student of the Class of 2023, a distinction recognised with five national and university-level awards.
Donald brings professional experience as a Quantitative Risk Analyst at EY Zimbabwe (IFRS 9 credit risk modelling) and as a Reporting Analyst at EcoCash Holdings. He is passionate about using rigorous statistics, machine learning, and data science to drive evidence-based decisions in health, finance, and beyond.
PhD in Statistics and Informatics
Trinity College Dublin
MSc in Mathematical Sciences
AIMS South Africa / Stellenbosch University
BSc Honours in Operations Research and Statistics
National University of Science and Technology (NUST), Zimbabwe
PhD Research · Trinity College Dublin · 2025–Present
Developing novel statistical methods for modelling how dietary patterns evolve over time and how those patterns relate to health outcomes — combining Bayesian inference, latent variable modelling, and longitudinal data analysis.
PhD Supervisor
Assistant Professor Silvia D'Angelo
Assistant Professor in Statistics · Trinity College Dublin · dangelos@tcd.ie
Novel statistical methods for the analysis of longitudinal dietary patterns and their association with health outcomes. Funded by the Research Ireland Frontiers for the Future Programme (2025).
MSc research assessing the ability of Large Language Models to solve Multi-Armed Bandit problems — awarded Distinction (AIMS South Africa, 2025). Supervised by Prof Audrey Durand, Université Laval, Canada.
Studied key relay protocols for quantum key distribution at the g-RIPS-Sendai programme — a collaboration between IPAM (UCLA), AIMR, and Tohoku University, Japan (2025).
01
Education & Experience
PhD at Trinity, MSc at AIMS/Stellenbosch, BSc at NUST — plus industry roles at EY Zimbabwe and EcoCash.
View Education →02
Research & Projects
T-DIET, LLMs for sequential decision-making, quantum key distribution, IFRS 9 risk modelling, and teaching projects.
View Projects →03
Leadership & Outreach
IndabaX Zimbabwe organiser, IOAI trainer, MasterCard Foundation scholar rep, AIMS House of Science tutoring lead.
View Leadership →04
Download Full CV
Complete academic CV including education, experience, awards, teaching, workshops, and references.
Open PDF →Open to research collaboration, teaching partnerships, data science consulting, and opportunities at the intersection of statistics, AI, and real-world impact.
TCD Email: zvadad@tcd.ie
AIMS Email: donald@aims.ac.za
LinkedIn: linkedin.com/in/donnie-z-1528bb1a7
GitHub: github.com/Donniezvadah
Prof Silvia D'Angelo — PhD Supervisor, TCD
dangelos@tcd.ie
Dr Mpfareleni Rejoyce Gavhi — AIMS South Africa
rejoyce@aims.ac.za
Prof Precious Mdlongwa — NUST, Zimbabwe
precious.mdlongwa@nust.ac.zw