My research interest follows the theme of ‘Finance for Social Good’, which means I capture elements of Green Finance, Sustainable Finance, and Interdisciplinary Finance (adapting financial models to benefit other fields), amongst others. My main area of exploration lies in Deep Learning in Finance – applying different types of neural networks to extract new insights.

 

I focus on areas in Finance where there are a lot of overlapping relationships that can make decision-making messy. Currently, my focus is on the interplay between Financial Markets, Corporate Finance, and Alternative Data. I think AI brings a lot to field of the Finance. We are a long way away from bettering human intuition and the ever-evolving social dynamics that dictate financial decision-making, but AI allows us to look at traditional finance problems in a different way. They can leverage a lot of computational power too. Relying on my background in Mathematics, Statistics, and Computational Finance, you will see me researching areas like:

 

• Climate Finance

• Corporate Finance Event Studies

• Neural Networks in Finance

• Stock Market Resilience

• Insurability of Emerging Risks

• Teaching Solutions for Postgraduate Business