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. Dr Anquandah is also a Fellow of the Higher Education Academy (FHEA) and a member of the Institute and Faculty of Actuaries (UK).

Position:

Lecturer in Statistics and Data Analytics

Department:

FET - Computer Science and Creative Technologies

Telephone:

+441173281111

Email:

Jason.Anquandah@uwe.ac.uk

Social media:

About me

Fun fact about me: My love for mathematics began at the age of two when my older sister taught me the two-times table. I was so excited that I decided to write it down, using a nail on my father's newly sprayed, shiny grey Toyota Carina! My mother had to hide me from him that evening. It was perhaps not the best way to demonstrate my enthusiasm, but my fascination with numbers has never left me.

Growing up in Ghana, I found patterns in numbers easier to understand than words. That curiosity took me from Ghana to Tanzania and eventually the United Kingdom, where I pursued my studies in actuarial science, mathematical modelling and statistics.

I am currently a Lecturer in Statistics and Data Analytics at UWE Bristol. My teaching and research interests span statistics, mathematical finance, data science, machine learning and artificial intelligence. My research has taken me across disciplines, from unemployment insurance and mathematical finance to public health, behavioural research and artificial intelligence in education.

I currently lead a research project exploring how artificial intelligence can support personalised tutoring and improve educational outcomes. Alongside my university role, I work with Mathematics in Education and Industry (MEI) on its Maths into AI programme, helping young people discover the mathematics behind artificial intelligence.

I am passionate about teaching, mentoring and widening participation, particularly creating opportunities for people from underrepresented backgrounds. I enjoy making mathematics and statistics accessible and helping students discover that these subjects are not as intimidating as they might initially seem.

Beyond teaching and research, I contribute to curriculum development, module leadership, student supervision and educational outreach. I welcome opportunities for interdisciplinary research, educational innovation and collaboration.

Thankfully, I now have Python, R and a whiteboard at my disposal, so my father's car is safe!

Area of expertise

My expertise spans statistics, data science, mathematical modelling and artificial intelligence, with a particular interest in applying quantitative methods to real-world problems.

My research focuses on stochastic processes, optimal stopping theory, mathematical finance, actuarial science and statistical modelling. I also have experience in machine learning, predictive analytics and interdisciplinary research, including applications in education, public health and behavioural science.

My current interests include artificial intelligence in education, personalised learning and the use of data-driven approaches to improve educational outcomes.

Beyond research, my expertise includes curriculum development, module leadership, student supervision and widening participation in mathematics and data science.

Publications

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