Dr Anupam Singh is a Lecturer in Marketing Analytics and Data Science at the Adam Smith Business School, University of Glasgow. Before joining Glasgow, he was a Lecturer in Digital Marketing & Analytics at the University of Stirling and previously worked at Nicolaus Copernicus University, Poland. He holds a Ph.D. from the National Institute of Technology (NIT), Bhopal, India, and has been awarded prestigious research fellowships from the University Grants Commission (UGC), India, and the Indian Institute of Technology (IIT), Delhi.

Dr Singh’s research explores the intersection of AI, machine learning, and consumer behavior, investigating how algorithms shape preferences and influence decision-making in digital environments. He also applies big data and predictive modeling to study sustainability, analyzing the motivations and barriers to pro-environmental consumption.

His key research interests include:
GenAI, Machine Learning, Text Mining, Algorithmic Consumption, Data-Driven Marketing, and Sustainability Analytics.

Computational Proficiency

• Artificial Intelligence: Machine Learning, Deep Learning, Natural Language Processing (NLP)
• Programming Languages: C++, R, Python, Ruby, Scala
• Query Languages: SQL/MySQL
• Statistics: Probability Distributions, Bayesian Models, Applied Linear Regression Models, Discrete Choice Modeling, Fuzzy Logic, Stochastic Process
• Network Visualization: Social Network Analysis, Geospatial Analysis & Map Visualization
• Mathematical & Statistical Software: MATLAB, Maple, Stata, SPSS Amos, SmartPLS
• Visualization/Graphics Software: Tableau, Gephi, Adobe Creative Suite

Dr. Anupam Singh is a researcher specializing in algorithmic consumption within digital environments. His research focuses on understanding how algorithms influence behavior, decision-making processes, and consumption patterns in the digital realm. He is also interested in analyzing user-generated and synthetic data to gain deeper insights into digital interactions and algorithmic influence.

Adopting a multidisciplinary approach, Dr Singh integrates theories and methodologies from fields such as computer science, consumer behavior/marketing, and mathematics. He explores the mechanisms through which algorithms shape consumer preferences and influence choices in online environments. By investigating algorithms and their impact on decision-making, Dr Singh offers valuable insights into the evolving nature of consumer behavior in the digital age.

Another key area of his research involves applying big data and machine learning techniques to analyze the motivations and barriers to sustainable consumption. His work seeks to answer how individuals’ pro-social and pro-environmental behavior can contribute to making our planet more resilient and sustainable.

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

• Data-Driven Marketing
• Responsible AI/Generative AI
• Machine Learning
• Text Mining
• Algorithmic Consumption
• Sustainability Analytics and Modeling

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

List by: Type | Date

Prior publications

Dr. Singh welcomes collaboration on PhD and Postdoctoral research projects. Prospective students and researchers interested in working at the intersection of technology, data science, and business (marketing) applications are encouraged to explore potential collaborations with him. His interdisciplinary approach combines elements of computer science, marketing, and sustainability, with a particular focus on analyzing user-generated and synthetic data to uncover insights into digital interactions, algorithmic influence, and consumption patterns.

Marketing Analytics;

Python programming;

Data Management and Engineering; 

AI & Machine Learning

ACADEMIC SERVICES:

Editorial board

• PlosOne

Ad Hoc/Reviewer

• Journal of big data
• Journal of business research
• Nature climate change
• Review of managerial science

MEMBERSHIPS

• Fellow of the UK Higher Education Academy
• The Asia Computational Intelligence Society (ACIS), Hong Kong, China

SELECTED AWARDS:

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