Dr Anupam Singh is a Lecturer (Assistant Professor) in Marketing Analytics and Data Science at the Adam Smith Business School, University of Glasgow, UK. His research sits at the intersection of consumer research, computational marketing, and data science, seeking to understand consumer behaviour and marketing phenomena through advanced quantitative and computational approaches, including artificial intelligence, machine learning, text analytics, and large language models.

A parallel strand of his work examines how emerging AI systems are transforming research methods and scientific inquiry. In particular, he studies the use and evaluation of generative AI, LLMs, and AI agents as tools for empirical research and knowledge discovery, with an emphasis on their reliability, validity, and methodological implications. His broader agenda is to develop and apply rigorous computational and AI-enabled methods that generate credible knowledge about consumers, markets, and increasingly AI-mediated modern society.

Dr Singh also consults firms and policymaking organisations, helping them leverage untapped data to build AI-driven models for evidence-based decision-making.

With his expertise in building AI-driven decision systems (including agentic pipelines, autonomous AI agents and LLMs), he contributes to multidisciplinary projects that translate advanced analytics into practical solutions for real-world problems.

Alongside his research, Dr Singh has been recognised for teaching excellence, most recently receiving the Best Teacher Award at the University of Glasgow in 2026 and the Teacher of the Year Award at the University of Stirling in 2024. These honours reflect his commitment to evidence-based, industry-relevant education.

Industry and Public-Sector Collaboration

Dr Singh is particularly interested in supporting organisations and collaborating on research in the following domains:

1. Democratising AI by developing accessible, low-cost capabilities for SMEs and non-tech organisations to support competitiveness and sustainable growth.

2. AI and data science for marketing performance, customer behaviour, and societal trends.

3. Helping public-sector orgnizations and government to adopt and implement AI-driven data analytics—unlocking untapped data to improve services and understand information consumption and its societal impact.

Computational Proficiency

• Artificial Intelligence: Machine Learning, Deep Learning, Large Language Models (LLMs)
• Data Mining: Text Mining, Image Mining
• Big Data Analytics: Cloud Computing, Network Analysis, Geospatial Analysis
• Programming Languages: Python, R, C++, Scala, Ruby

His current research interests can be summarized by the following keywords:

• Computational Marketing
• Consumer Behaviour
• Agentic AI in Marketing
• Text and Multimodal Analytics
• Algorithmic Consumption and Decision-Making
• Generative AI and AI Agents
• Computational and AI-Augmented Research Methods
• Trustworthy and Responsible AI
• Sustainability Analytics and Modeling

Dr Singh is open to collaborating on Ph.D. and postdoctoral research in the areas mentioned above. 

List by: Type | Date

Prior publications

Dr Singh welcomes collaboration on PhD and postdoctoral research projects. Prospective students and researchers with a strong background in mathematics and computing who are interested in working at the intersection of technology, data science, and consumer behaviour (marketing) are encouraged to reach out. 

• Kulkarni, Trupti Deovrat
  Algorithm-driven recommendation and advertising systems are increasingly shaping what UK consumers, particularly minors and other vulnerable groups, see, desire, and ultimately buy online. This project focusses on the vape and tobacco sector and expl
• Shi, Zixuan
  AI Affordances in Global Scaling: How AI Startups Internationalise

Marketing Analytics;

Python programming;

Data Management and Engineering; 

AI & Machine Learning

ACADEMIC SERVICES:

Reviewer

• Journal of big data
• Journal of business research
• Nature climate change
• Review of managerial science
• IEEE Transactions on Engineering Management

MEMBERSHIPS

• Fellow of the UK Higher Education Academy

SELECTED AWARDS:

• Won the Best Teacher Award at the University of Glasgow (2026).
• Awarded Teacher of the Year (runner-up) at the University of Stirling (2024) for excellence in teaching.
• Received a Faculty Research Fellowship from the Indian Institute of Technology (IIT) Delhi, India (July 2020).
• Received a Senior Research Fellowship (SRF) from the University Grants Commission (UGC), India (2015–2017).
• Received a Junior Research Fellowship (NET-JRF) from the University Grants Commission (UGC), India (2013–2015).