Biography
David Díaz Solis is Associate Professor of Business Analytics and Artificial Intelligence at the Universidad de Chile’s Business School, Department of Business Administration. He is also the Academic Co-Director of the Master in Business Analytics and Director of the Business Analytics Certificate, both joint programs with MIT Sloan School of Management and Universidad de Chile’s School of Engineering.
Professor Díaz Solis is a Research Collaborator at the Cambridge Service Alliance, Institute for Manufacturing, University of Cambridge, and was previously a Visiting Researcher at Aristotle University of Thessaloniki in Greece and at Manchester Business School, University of Manchester. He holds a Ph.D. in Business Intelligence from The University of Manchester and a Master's in Finance from Universidad de Chile.
David’s research lies at the intersection of machine learning, service analytics, and financial decision-making. His academic work explores how advanced AI models—including large language models and deep learning architectures—can enhance decision-making in financial markets, consumer behavior, and service innovation. His publications span top-tier journals such as Journal of Business Research, Tourism Management, Scientific Reports, and Expert Systems with Applications. His contributions have also extended to high-impact interdisciplinary work on customer engagement, credit risk modeling, and unstructured data analytics.
With more than 20 peer-reviewed journal articles, several book chapters, and numerous conference presentations, Professor Díaz Solis is internationally recognized for advancing the understanding of how AI and big data can be applied to real-world challenges in finance, services, and digital strategy. He has also served as consultant and advisor for international organizations and financial institutions, including the Inter-American Development Bank, HSBC, and the World Bank.
In 2021, he was appointed President of the Artificial Intelligence Committee at the American Chamber of Commerce in Chile (AmCham Chile), and he has received multiple awards for teaching excellence, high-impact publications, and industry-relevant research. His current work includes investigating the potential of generative AI in credit scoring, service recovery, and customer experience design.
Professor Díaz Solis is passionate about applied research and mentoring the next generation of data scientists and business leaders. He continues to lead several cross-institutional projects and actively publishes on emerging intersections between technology, analytics, and management.
Publications
1. Jeldes-Delgado, F., Ferreira, T. A., Díaz, D., & Ortiz, R. (2024). Exploring gender stereotypes in financial reporting: An aspect-level sentiment analysis using big data and deep learning. Heliyon, 10(20), e25691. https://doi.org/10.1016/j.heliyon.2024.e25691
2. Paredes, V., Pino, F. J., & Díaz, D. (2024). Does facial structure explain differences in student evaluations of teaching? The role of fWHR as a proxy for perceived dominance. Economics & Human Biology, 54, 101381. https://doi.org/10.1016/j.ehb.2024.101381
3. Núñez Delafuente, H., Astudillo, C. A., & Díaz, D. (2024). Ensemble approach using k-partitioned isolation forests for the detection of stock market manipulation. Mathematics, 12(9), 1336. https://doi.org/10.3390/math12091336
4. Espinoza-Benavides, J., Guerrero, M., & Díaz, D. (2021). Dissecting the ecosystems’ determinants of entrepreneurial re-entry after a business failure. European Business Review, 33(6), 975–998. https://doi.org/10.1108/EBR-09-2020-0222
5. Olavarrieta, S., & Díaz, D. (2021). The strong need for extended research and replications in Latin American and emerging markets. Journal of Business Research, 127, 384–388. https://doi.org/10.1016/j.jbusres.2021.01.021
6. Díaz, D., Ruiz, J. L., & Tapia, P. (2021). The role of pension knowledge in voluntary pension and banking savings in Chile. Academia Revista Latinoamericana de Administración, 34(4), 545–560. https://doi.org/10.1108/ARLA-12-2020-0264
7. Muñoz-Reyes, J. A., Polo, P., Valenzuela, N., Pavez, P., Ramírez-Herrera, O., Figueroa, O., Díaz, D., et al. (2020). The Male Warrior Hypothesis: Testosterone-related cooperation and aggression in the context of intergroup conflict. Scientific Reports, 10, 1–12. https://doi.org/10.1038/s41598-019-57259-0
8. Figueroa, O., Muñoz-Reyes, J. A., Rodriguez-Sickert, C., Valenzuela, N., Pavez, P., Ramírez-Herrera, O., Díaz, D., et al. (2020). Testing strategic pluralism: The roles of attractiveness and competitive abilities to understand conditionality in men’s short-term reproductive strategies. PLOS ONE, 15(8), e0237315. https://doi.org/10.1371/journal.pone.0237315
9. Espinoza-Benavides, J., & Díaz, D. (2019). The entrepreneurial profile after failure. International Journal of Entrepreneurial Behaviour & Research, 25(8), 1634–1651. https://doi.org/10.1108/IJEBR-04-2018-0242
10. Kausel, E. E., Ventura, S., Vargas, M. “Pacha,” Díaz, D., & Vicencio, F. (2018). Does facial structure predict academic performance? Personality and Individual Differences, 129, 1–5. https://doi.org/10.1016/j.paid.2018.02.041
11. Theodoulidis, B., Díaz, D., Crotto, F., & Rancati, E. (2017). Exploring corporate social responsibility and financial performance through stakeholder theory in the tourism industries. Tourism Management, 62, 173–188. https://doi.org/10.1016/j.tourman.2017.03.018
12. Kunz, W., Aksoy, L., Bart, Y., Heinonen, K., Kabadayi, S., Ordenes, F. V., Díaz, D., & Theodoulidis, B. (2017). Customer engagement in a Big Data world. Journal of Services Marketing, 31(2), 161–171. https://doi.org/10.1108/JSM-10-2016-0352
13. Díaz, D., Theodoulidis, B., & Dupouy, C. (2016). Modelling and forecasting interest rates during stages of the economic cycle: A knowledge-discovery approach. Expert Systems with Applications, 44, 245–264. https://doi.org/10.1016/j.eswa.2015.09.010
14. Díaz, D., Theodoulidis, B., & Sampaio, P. (2011). Analysis of stock market manipulations using knowledge discovery techniques applied to intraday trade prices. Expert Systems with Applications, 38(10), 12757–12771. https://doi.org/10.1016/j.eswa.2011.04.066
15. Zaki, M., Theodoulidis, B., & Díaz, D. (2011). “Stock-Touting” through spam emails: A data mining case study. Journal of Manufacturing Technology Management, 22(6), 770–787. https://doi.org/10.1108/17410381111149789
16. Parisi, A., Parisi, F., & Díaz, D. (2008). Forecasting gold price changes: Rolling and recursive neural network models. Journal of Multinational Financial Management, 18(5), 477–487. https://doi.org/10.1016/j.mulfin.2008.06.002
17. Parisi, A., Parisi, F., & Díaz, D. (2006). Modelos de algoritmos genéticos y redes neuronales en la predicción de índices bursátiles asiáticos. Cuadernos de Economía: Latin American Journal of Economics, 43(128), 251–284. Link to RePEc
Book Chapters
- Martínez, C., & Díaz, D. (2025). How service experience can shape customer churn from a Service-Dominant Logic perspective. In Kristensson, P., Witell, L., & Zaki, M. (Eds.), Handbook of Service Experience. Cheltenham, UK: Edward Elgar Publishing. ISBN: 978-1-0353-0018-1.
- Villarroel, F., Díaz, D., & Herhausen, D. (2022). Customer experience measurement: Implications for customer loyalty. In Keeling, D., de Ruyter, K., & Cox, D. (Eds.), Handbook of Research on Customer Loyalty. Edward Elgar Publishing. ISBN: 978-1800371637.
- Zaki, M., Theodoulidis, B., & Díaz, D. (2018). Ontology-driven framework for stock market monitoring and surveillance. In Boubaker, S. & Nguyen, D. K. (Eds.), Handbook of Global Financial Markets: Transformations, Dependence, and Risk Spillovers. ISBN: 978-981-3236-64-6.
- Díaz, D. (2016). Tecnologías de Información y Comunicaciones (TICs) e innovación. In Torres, J., Etchebarne, M., & Díaz, D. (Eds.), Dinámicas de la innovación made in LATAM. Santiago, Chile: Editorial Copygraph.
- Díaz, D. & Zaki, M. (2016). Lo Big y lo no tanto. In Torres, J., Etchebarne, M., & Díaz, D. (Eds.), Dinámicas de la innovación made in LATAM. Santiago, Chile: Editorial Copygraph.
- Theodoulidis, B., Strickland, S., & Díaz, D. (2012). Innovation perspectives of a personal financial services call centre. In Macaulay, L. A., Miles, I., Wilby, J., Tan, Y. L., Zhao, L., & Theodoulidis, B. (Eds.), Case Studies in Service Innovation. Springer. ISBN: 978-1-4614-1971-6.
Selected Conference Presentations and Proceedings
- Díaz, D. (2025, June). Can Large Language Models Predict Credit Risk? An Empirical Study on Consumer Loans in Chile. EURO 2025 – European Conference on Operational Research, Leeds, UK.
- Díaz, D. (2025, January). Can Large Language Models Predict Credit Risk? An Empirical Study on Consumer Loans in Chile. Workshop in Management Science, Pucón, Chile.
- Díaz, D. (2024, September). AI Agents in Service Experience: Towards Autonomous and Conscious Agency. Cambridge Service Management PhD Forum, University of Cambridge, UK.
- Zaki, M., & Díaz, D. (2023). The application of AI to revolutionize brand’s social media and customer engagement strategy. AMA Global SIG, Santiago, Chile.
- Díaz, D., & Peña, T. (2023). Comparing LSTM, ARIMA, and MLP Models for Stock Price Prediction and Profitability in the IPSA Stock Market Index Components. IFORS 2023, Santiago, Chile.
- Zaki, M., & Díaz, D. (2022). The application of AI to revolutionize brand’s social media and customer engagement strategy. Frontiers in Service Conference, Boston, USA.
- Zaki, M., & Díaz, D. (2022). Collectives in Social Media: Predicting their brand engagement using deep learning methods. AIRSI Conference, University of Zaragoza, Spain.
- Martínez, C., Díaz, D., & Theodoulidis, B. (2018). Churn prediction through customer feedback analytics. BAFI Conference, Santiago, Chile.
- Díaz, D. (2017). The impact of quote stuffing in high-frequency trading. BALAS Conference, Santiago, Chile.
- Díaz, D. (2016). Techniques for surveillance and monitoring of financial markets: BSM – Bovespa market enforcement in securities markets. Keynote speaker, São Paulo, Brazil.
- Díaz, D., & Yáñez, J. (2015). Customer feedback analysis: LAN-LATAM contact center complaints and compliments. Fundación COPEC UC Big Data Seminar, Santiago, Chile.
- Golmohammadi, K., Zaiane, O. R., & Díaz, D. (2014). Detecting stock market manipulation using supervised learning algorithms. IEEE International Conference on Data Science and Advanced Analytics (DSAA), 435–441. https://doi.org/10.1109/DSAA.2014.7058109
- Díaz, D., Theodoulidis, B., & Shahgholian, A. (2013). Social networking influence on environmental and corporate performance. 15th IEEE Conference on Business Informatics, Vienna, Austria.
- Díaz, D., Theodoulidis, B., & Abioye, E. (2013). Monitoring and surveillance systems for financial markets: A service system perspective. 15th IEEE Conference on Business Informatics, Vienna, Austria.
- Díaz, D., Theodoulidis, B., & Abioye, E. (2012). Cross-border challenges in financial market monitoring: A service value network case. SRII Global Conference, San Jose, USA.
- Zaki, M., Díaz, D., & Theodoulidis, B. (2012). Financial market service architectures: A “pump and dump” case study. SRII Global Conference, San Jose, USA.
- Díaz, D., & Araya, A. (2012). Opportunities and challenges in financial market integration: The MILA case. CSSI’12 Workshop, CAiSE’12, Gdańsk, Poland.
- Theodoulidis, B., Zaki, M., & Díaz, D. (2012). Examining higher education as a service system. Frontiers in Service Conference, University of Maryland, USA.
- Díaz, D., Zaki, M., Theodoulidis, B., & Sampaio, P. (2011). A systematic framework for financial market monitoring systems. SRII Global Conference, San Jose, USA.
- Theodoulidis, B., Díaz, D., & Zaki, M. (2011). Carbon footprint innovation through environmental information management. SRII Global Conference, San Jose, USA.
- Zaki, M., Díaz, D., & Theodoulidis, B. (2010). Using text mining to analyze stock-touting spam emails. AMCIS, Lima, Peru.
- Zaki, M., Theodoulidis, B., & Díaz, D. (2010). A data mining approach for analyzing stock-touting spam. ICIST, Kaunas, Lithuania.
- Díaz, D., Theodoulidis, B., & Sampaio, P. (2009). Analyzing fraudulent stock market manipulations: A data mining case study. European Conference on Intelligent Management Systems in Operation, Salford, UK.
