Eva Christodoulaki is a postdoctoral researcher with interests in evolutionary algorithms, optimisation, finance, mathematical analysis, and regulatory frameworks. Her PhD research applied Genetic Programming to algorithmic trading, leveraging fundamental, sentiment, and technical analysis to enhance market insights. Eva is focused on using quantitative methods to advance algorithmic solutions for financial stability, including models that incorporate market and environmental sustainability. She brings technical knowledge and analytical insights to research that connects finance with regulatory needs, supporting a resilient and sustainable financial sector.