Research Hub for Applied Data Science and Finance

The research hub incorporates the development of new technological advancements with traditional methodologies to promote data-driven analyses and solutions aimed at creating value for entrepreneurs, investors, companies and society. Venturing into the complex dynamics arising from the interaction between institutional settings, macroeconomic conditions, and market participants, we are an interdisciplinary group of researchers using data science and quantitative approaches to investigate the dynamics of financial markets, financial decisions within firms, firm valuation and personal finance decisions. Additionally, the center will serve to supplement other research hubs through advanced analytics and the assessment of human-centered applications of AI and the future of technology for businesses and society.  

 

Key Research Themes 

  • AI driven decision-making  
  • Business analytics, resilience and optimization 
  • Economic and policy simulations 
  • Predictive analytics and behavioral analytics 
  • FinTech innovations and their impact on financial markets 
  • Human-centered AI and scoring systems 
  • Sustainable investing and ESG integration  
  • Advanced risk assessment and management 
  • Enterprise architecture in Big Data  

 

Researchers 

  • Dr. Bernat Coma-Puig
  • Dr. Yana Sokolova
  • Dr. Marco Botta
  • Dr. Ricardo Torrecilla Sánchez
  • Dr. Rubén González
  • Dr. Olena Danylenko
  • Dr. Meritxell Solé
  • Ahmed S. Wafi
  • Charlotte Fleury