Dr Jason Anquandah

• Qualifications:Dr Jason S. Anquandah holds a PhD in Statistics from the University of Leeds, an MRes in Mathematical Modelling from the University of Dar es Salaam, an MSc in Mathematical Science (Distinction) from the African Institute for Mathematical Sciences (AIMS), and a BSc in Actuarial Science (First Class Honours) from Kwame Nkrumah University of Science and Technology (KNUST), Ghana. She is a Fellow of the Higher Education Academy (FHEA), an Associate Fellow of the Higher Education Academy (AFHEA), and a member of the Institute and Faculty of Actuaries (UK).
• Position:Lecturer in Statistics and Data Analytics
• Department:Faculty of Arts, Creative Industries, and Education (ACE)
• Telephone:+441173281111
• Email:Jason.Anquandah@uwe.ac.uk
• Social media:

About me

Dr Jason S. Anquandah is a Lecturer in Data Science and Statistics in the Department of Computer Science and Creative Technologies at the University of the West of England (UWE Bristol), United Kingdom. She is a Fellow of the Higher Education Academy (FHEA) and a member of the Institute and Faculty of Actuaries (UK). Her work lies at the intersection of statistics, data science, actuarial science, and mathematical modelling, with applications in finance, public policy, healthcare, and social science research.

Dr Anquandah has over twelve years of experience in higher education teaching, research, and student supervision, alongside industry experience in statistics, actuarial science, finance, and data analytics. Her academic career spans multiple international contexts, with experience in the United Kingdom, Ghana, Tanzania, China, and Saudi Arabia. This global experience has shaped her interdisciplinary approach to teaching and research, particularly in applying quantitative methods to real-world challenges.

Prior to joining UWE Bristol, Dr Anquandah served as a Postdoctoral Research Officer at the University of Oxford within the UKRI Global Challenges Research Fund (GCRF) Hub Accelerating Achievement for Africa’s Adolescents, based in the Department of Social Policy and Intervention. In this role, she conducted advanced quantitative analyses using techniques such as structural equation modelling, multilevel modelling, and mixed-effects models to examine the social, health, and economic factors affecting adolescent development. Her work contributed to high-impact academic publications and policy-relevant research focused on improving the well-being of young people in sub-Saharan Africa.

Dr Anquandah’s research interests include probability and statistics, stochastic control theory, optimal stopping problems, actuarial science, and mathematical finance. She is particularly interested in developing statistical and mathematical models that inform policy decisions and financial systems. Her doctoral research examined optimal stopping strategies in unemployment insurance systems, exploring how mathematical modelling can improve decision-making within labour market policies and insurance frameworks.

Her research has been published in several peer-reviewed journals, including Risks, PLOS ONE, Burns, Body Image, the Journal of Plastic, Reconstructive & Aesthetic Surgery, and the Journal of Medical Internet Research. Her work often contributes to interdisciplinary collaborations involving public health, behavioural science, and social policy.

In teaching, Dr Anquandah is committed to providing research-informed and inclusive learning experiences that develop students’ analytical thinking, quantitative reasoning, and data science skills. She teaches undergraduate and postgraduate modules in statistics, data science, machine learning, and analytics, integrating practical programming tools such as Python and R to help students apply statistical methods to real-world datasets. She also supervises undergraduate and postgraduate dissertations and mentors students pursuing careers in data science, analytics, and quantitative research.

Before joining UWE Bristol, she held teaching roles across several UK institutions,s including the University of Leeds, The Open University, Kingston University, Cardiff University, and international programmes associated with the London School of Economics and the University of London. Through these roles, es she has contributed to curriculum design, assessment development, and the delivery of innovative teaching approaches across a range of quantitative disciplines.

Beyond her academic work, Dr Anquandah is actively involved in educational innovation and entrepreneurship. She is the Co-Founder and CEO of PrivateLearn, an education technology initiative aimed at expanding access to high-quality learning opportunities across Africa. Through this platform, she works with schools, educational organisations, and technology partners to develop digital learning solutions and support student success.

She also serves as a Mathematics Education Consultant with Mathematical Education Innovation (MEI) in the United Kingdom. In this role, she contributes to projects that integrate artificial intelligence and machine learning concepts into secondary school mathematics curricula, supports professional development programmes for teachers, and promotes greater participation in mathematics and STEM education.

Dr Anquandah’s academic training reflects a strong foundation in the mathematical sciences. She holds a PhD in Statistics from the University of Leeds, an MRes in Mathematical Modelling from the University of Dar es Salaam, an MSc in Mathematical Science with distinction from the African Institute for Mathematical Sciences (AIMS), and a First-Class Honours degree in Actuarial Science from Kwame Nkrumah University of Science and Technology (KNUST), Ghana. During her academic journey, she received several prestigious scholarships and awards, including the Leeds Anniversary Research Scholarship and the AIMS Research Masters Scholarship.

Through her research, teaching, and professional engagement, Dr Anquandah aims to advance the use of statistical science and data-driven methods to address complex societal challenges while supporting the development of the next generation of statisticians, data scientists, and quantitative researchers.

Area of expertise

Dr Jason S. Anquandah’s expertise spans statistics, data science, actuarial science, and mathematical modelling, with a focus on applying advanced quantitative methods to real-world problems in finance, public policy, healthcare, and education.

Research Expertise

• Applied Statistics and Statistical Modelling

• Probability Theory and Stochastic Processes

• Stochastic Control and Optimal Stopping Theory

• Mathematical Finance and Actuarial Science

• Data Science, Machine Learning, and Artificial Intelligence

• Quantitative Research Methods and Data Analytics

• Mathematical and Computational Modelling

Technical and Analytical Skills

• Programming for Data Science: Python, R, SQL, SPSS

• Statistical Computing and Data Visualisation

• Large-scale Data Management and Analysis

• Predictive Modelling and Machine Learning Applications

• Experimental Design and Survey Methodology

• Advanced Statistical Techniques including Multilevel Models and Structural Equation Modelling

Application Areas

• Financial and Actuarial Risk Modelling

• Labour Market and Insurance Modelling

• Public Health and Social Policy Research

• Educational Data Science and Learning Analytics

• Data-driven decision making for policy, research, and industry

Publications

Publications loading...