معرفی
Aritad (Alan) Choicharoon is a Senior Lecturer in Business Analytics at Leeds University Business School, University of Leeds, and a member of the Centre for Decision Research (CDR). He has been actively involved in teaching and research since 2020, focusing on quantitative modeling, analytics, and data visualization.
- Position: Senior Lecturer in Business Analytics
- Institution: University of Leeds
- School: Leeds University Business School
- Research Centre: Centre for Decision Research (CDR)
- Email: A.Choicharoon@leeds.ac.uk
His research centers on the intersection of artificial intelligence and decision support systems, particularly the application of large language models in complex decision-making processes. He explores applied data science in business contexts, including marketing analytics, consultancy, and the integration of machine learning and decision science in the music industry. His work emphasizes interpretable and explainable AI, human interaction with decision support systems, and the role of such systems in managerial decision-making.
Although no recent publications are listed in the provided text, his involvement in a UKRI-approved Knowledge Transfer Partnership (KTP) project with SR Mailing Ltd and colleagues from CDR indicates active research with real-world impact, particularly in applying AI and LLMs to improve sustainability in business operations.
He has been recognized for his teaching contributions, having designed and led the fast-growing postgraduate module Creating Effective Data Visualisation (LUBS5991M). He also leads Business Analytics and Decision Science (LUBS5308M) and has contributed to other modules such as Forecasting and Advanced Business Analytics and Machine Learning in Practice.
- Certified Analytics Professional (CAP)
- Fellow of the Higher Education Academy
- Certified Management & Business Educator
- Member of the Operational Research Society
His educational background includes a BEng in Aerospace Engineering and an MSc in Business Analytics and Decision Science. Prior to academia, he worked as a data scientist in an international e-commerce platform and as a researcher at a top-3 music label, applying AI in talent scouting. He is actively engaged in the data science community and shares insights on data, technology, F1, and politics via social media.
He is also a Professional Development Tutor for the MSc Business Analytics and Decision Science program and collaborates with interdisciplinary teams at the University of Leeds, including through the Leeds Institute for Data Analytics (LIDA) and the Centre for Decision Research.
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