Staff Profile

Dr Nishant Das

Biography

Dr. Nishant Das specialises in applying Data Science to understand and enhance decision-making processes, particularly in management contexts. His expertise extends to Natural Language Processing, with a focus on behavioural applications such as sentiment and emotion detection in text, and aligning AI cognition with human behaviour. His research interests also include algorithmic bias &  fairness and AI ethics. He holds a degree in Engineering Physics, specializing in Nuclear Engineering, from McMaster University, Canada. After seven years as a Data Scientist and Management Consultant in Dubai, Dr. Das pursued a PhD in Behavioral Finance from IESE Business School, Barcelona, and was a visiting researcher at Haas School of Business, UC-Berkeley.  He is committed to conducting research that is practical and enhances contemporary management practices and has provided extensive machine learning consultancy, including the development of proprietary predictive algorithms for a range of private and public sector clients in the GCC region.

Qualifications
  • PhD (Management), IESE Business School, Barcelona, Spain, 
  • Master of Research in Management, IESE Business School, Barcelona, Spain
  • Bachelor of Engineering (Engineering Physics - Nuclear), McMaster University, Canada 

Research Interests
  • Data Science & Natural Language Processing
  • Machine Learning Algorithm Bias & Fairness and AI Ethics
  • AI Cognition & Human Behaviour Alignment
  • Data Science Driven Decision Making in Management
Publications
  • Das, Nishant, The influence of investor memory on firm evaluation and future stock market performance (February 13, 2022). IESE Business School Working Paper, Available at SSRN: http://dx.doi.org/10.2139/ssrn.4204199
  • Das, Nishant, The influence of context-effect on investor evaluation of firms discussed in the news. (May 27, 2021). Available at SSRN:  http://dx.doi.org/10.2139/ssrn.4050681