Our leadership
Statistical, clinical, financial and research expertise, applied to real-world problems.
Kwaku Damoah
Founder and Chief Data ScientistKwaku is the founder and Chief Data Scientist of MDY Analytics, with a background in statistics and actuarial science. He is a data scientist specialising in complex problem-solving through analytics, machine learning, simulation and optimisation, with more than a quarter of a century of experience delivering data-driven solutions across the healthcare, agriculture, economics and finance sectors.
His statistical and analytical work at GSK, AstraZeneca and Procter & Gamble, and engagements with ACET, KPMG and USP, underpin the methods behind PARIS AI and the wider portfolio. He is the lead developer of every innovation in it.
Leadership team
Maxwell Damoah
Chief Executive OfficerCEO of MDY Analytics and creator of Million22, a crypto and investment education app. Maxwell specialises in financial technology and personalised inventory management systems.
Betty G. Damoah
Chief Operating OfficerWith an MSc in Reproductive and Sexual Health Research and experience at UNFPA, Betty ensures MDY's operations deliver data solutions with precision and purpose.
Francis Peprah
Chief Financial OfficerAn Executive MBA and over 15 years as a Chartered Accountant. Francis leads MDY's financial strategy and fiscal stability.
Collective expertise
The disciplines behind our solutions.
Data science
Statistical analysis and machine learning that turn complex datasets into decisions.
Health technology
Data-driven tools that support clinical decision-making and improve patient outcomes.
Financial analysis
Financial models and compliance solutions for strategic decision-making.
Agricultural research
Analytics and predictive modelling to improve agricultural outcomes.
Working with clinical partners
We work alongside clinicians and healthcare organisations to validate and implement PARIS AI in real settings, and PARIS AI Sepsis AEP is now in clinical validation with NHS and university partners. If you would like to join that work, we would like to talk.