I am a theoretical physicist and data scientist, with a background in academic research and extensive experience developing solutions across a range of industries.
As a researcher, I published over 20 scientific papers in quantum gravity, exploring topics such as cosmology, gravitational wave propagation, and black hole formation.
As a data scientist, I've designed predictive models that deliver business insights across sectors including healthcare, telecommunications, public services, and finance.
In recent years, my focus has shifted toward the quantitative aspects of financial markets - developing pricing tools, designing statistical risk models, and exploring the integration of large language models into decision-making processes.
Currently, I apply advanced analytics and ML techniques to the energy sector, optimizing trading strategies, forecasting prices, evaluating investment opportunities such as BESS acquisition, and leading MLOps initiatives to scale data science impact.