Nicolas Padilla

I am an Assistant Professor of Marketing at London Business School.

As an empirical marketing modeller, my research focuses on developing innovative frameworks and methodologies to better understand consumer behaviour and optimize marketing strategies in today's data-driven environment. I explore how companies can leverage first-party data and sophisticated machine learning tools to enhance marketing decisions. I am particularly interested in modeling consumer browsing behavior, customer dynamics, preferences measurement and modern marketing mix models.

Methodologically, my work is grounded in probabilistic machine learning, which integrates advanced machine learning techniques with probabilistic modelling.

Email: [email protected]

London Business School | Marketing Subject Area

Research

Publications

Working Papers

Research in Progress

Curriculum Vitae

Academic Position

2020 - Present Assistant Professor of Marketing, London Business School, UK

Education

2021 Ph.D. in Marketing, Columbia Business School, US
2018 MPhil. in Marketing, Columbia Business School, US
2014 MSc. in Operations Management, University of Chile, Chile
2014 Industrial Engineering, University of Chile, Chile
2011 BSc. in Engineering Science, University of Chile, Chile

Teaching Experience

Autumn 2020, Summer 2021, Autumn 2021 Marketing [core]
EMBA London programme, EMBA Dubai programme, London Business School
Summer 2020 Marketing Planning Under Competition
MBA programme, London Business School
Fall 2014 Marketing II (Probability models)
Industrial Engineering, University of Chile

Professional Experience

2013–14 Center for Retail Studies (CERET), University of Chile, Santiago, Chile
Director of Studies
2011 Enjoy SA (Casinos and Hotels), Santiago, Chile
Digital Project Analyst

London Business School

Regent's Park

London, NW1 4SA

United Kingdom

[email protected]