I regularly supervise bachelor's and master's students. Examples of projects I supervised are:
Using deep learning algorithms for: predicting the equity risk premium, pricing vanilla and exotic options, predicting volatility, and sentiment analysis.
Time series models for quantitative risk and portfolio management.
Comparing the (point, density and tail risk) predictive performances of nonlinear dynamic econometric models.
Empirical asset pricing projects with a focus on the role of ESG ratings and metrics.
I do believe that teaching is an utterly important part of the academic life. During my PhD and Postdoc, I had the pleasure of being a lecturer for the following courses:
Derivatives pricing, Fixed Income analysis, and financial modelling with MATLAB at the Master's programme in Mathematics - Economics offered by Aarhus University;
Volatility and Tail Risk management at the Bachelor's programme in Econometrics and Operations Research offered by Erasmus University Rotterdam.