Shasha Lu

Associate Professor in Marketing

MPhil, PhD (School of Management, Fudan University)

My research interests include artificial empathy, digital marketing, visual content/product design and optimisation, marketing innovation, and unstructured data analytics in business. I apply advanced machine learning techniques in developing marketing models to gain better customer insights and improve business practices in the data-rich environment.

I’m a member of the Marketing subject group at Cambridge Judge Business School, which focuses on strategy, modelling, and consumer behaviour.

My details

Academic area

Marketing

Selected publications

News and insights

Artificial Intelligence has rapidly evolved from a promising technology into one of the most transformative forces shaping our economies, organisations and societies.

The UK-China AI Business Forum 2026, held at Cambridge Judge Business School, focused on issues ranging from how artificial intelligence is being applied in various industries to how AI strategy can help the transformation of organisations.

Professor Paul Kattuman receives a Teaching Award from Dean Gishan Dissanaike.

Eleven members of the Cambridge Judge Business School faculty and a Teaching Associate were awarded teaching prizes for excellence across the Business School’s various programmes. The awards were announced on 11 June at a ceremony led by the Dean and Vice-Dean for Programmes.

Recipients of the 2025 Cambridge Judge Excellence in Teaching Awards.

Eleven members of the Cambridge Judge Business School faculty are awarded teaching prizes for excellence across the Business School’s various programmes.

Media coverage

Phys.org | 18 March 2016

‘Artificial empathy’ could help stores improve recommendations for customers

Visual data will change the way businesses talk to customers, says Dr Shasha Lu, University Lecturer in Marketing at Cambridge Judge Business School. “It’s about gaining better customer insights to solve business problems and improve business practice,” she says.

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