Building AI that
Epidemiologist & Data Scientist based in Zimbabwe. SOFAR Fellow at the London School of Hygiene & Tropical Medicine — applying machine learning and AI to neonatal health, disease surveillance, and global health research.
About Me
I'm Cyprian Tinashe Masvikeni — an Epidemiologist and Data Scientist at the crossroads of public health science and artificial intelligence. Based in Zimbabwe, I build systems and conduct research that directly improves how health decisions are made across Sub-Saharan Africa.
I'm a SOFAR Fellow (funded by Global Health EDCTP3 / European Union), pursuing an MSc in Epidemiology at the London School of Hygiene & Tropical Medicine. My research focuses on neonatal and maternal health outcomes — most recently presenting on the effect of PM2.5 and ambient temperature on early neonatal mortality.
Before LSHTM, I spent over a year as a Quantitative Research Analyst at Neotree — a digital health platform that has supported care for 60,000+ babies across Zimbabwe and Malawi — and interned at The Health Research Unit Zimbabwe on the LSHTM Y-Check adolescent health project.
Technical Expertise
Work History
Academic Background
Work
Production-grade research fellow management system deployed on Oracle Cloud. Handles task tracking, presentation scheduling, milestone oversight, meeting coordination, and role-based admin management for Zimbabwe MSc research cohorts.
Live algorithmic trading system for XAU/USD and Deriv synthetic indices. Multi-timeframe EMA + ATR strategy with Chandelier Exit tiers, real-time WebSocket signal engine, and a live Streamlit dashboard for trade monitoring and performance analytics.
Research & Recognition
Presented at the Environmental Epidemiology Course hosted by CeSHHAR Zimbabwe and Midlands State University. Research explores how combined environmental exposures drive early neonatal deaths — directly complementing MSc work on AI-driven disease modelling.
CeSHHAR Zimbabwe & Midlands State University · Funded by Global Health EDCTP3 & SOFAR · 2026
Secured 2nd runner-up among 25 early career researchers from Zimbabwean institutions, presenting proposals on improving health outcomes using AI — following intensive mentoring by faculty at Imperial College London.
Imperial College London Mentored · Zimbabwe ECR Cohort · 2025
Selected as an MSc Fellow in the Southern Africa Research Capacity Network — an EU-funded programme building the next generation of health researchers across Zimbabwe, Zambia, and Mozambique. Featured in the SOFAR Newsletter Issue 2 (2025).
Global Health EDCTP3 / European Union · Southern Africa · 2025 — Present
Recognised by Neotree Executive Director Sophie Sutcliffe Goodman in the 2025 annual wrap-up as a scholarship recipient — alongside researchers strengthening academic capacity across Neotree's neonatal health mission spanning 18 facilities in Zimbabwe and Malawi.
Neotree · Zimbabwe · 2025
Credentials
Get In Touch
Open to research collaborations, data science roles, healthcare AI projects, and global health consulting. Based in Zimbabwe — available for remote work globally and fieldwork across Sub-Saharan Africa.
tynashmasvikeni@gmail.com