As Principal Research Scientist at Futures-Financial.ai, Mark leverages his unique transdisciplinary expertise to drive innovation at the intersection of artificial intelligence and financial markets. With a robust foundation in both Computer Science and Genetics, Mark has cultivated a diverse skill set that enables him to...
As Principal Research Scientist at Futures-Financial.ai, Mark leverages his unique transdisciplinary expertise to drive innovation at the intersection of artificial intelligence and financial markets. With a robust foundation in both Computer Science and Genetics, Mark has cultivated a diverse skill set that enables him to approach complex problems from multiple angles. His current role involves leading the development and architecture of advanced deep learning recurrent artificial neural network models, specifically designed to generate trading signals for the commodity and financial futures markets.
Mark's work is not limited to model creation; he is also deeply involved in the operational aspects of AI development. He orchestrates the deployment of hundreds of GPU instances in AWS to ensure efficient training of models, while also implementing rigorous back-testing protocols to validate the performance of these trading algorithms. His commitment to data integrity and compliance with regulations such as the General Data Protection Regulation (GDPR) underscores his holistic approach to AI in finance.
Beyond technical prowess, Mark excels in data visualization and experimental design, enabling stakeholders to glean actionable insights from complex datasets. His background in computational biology and molecular biology enriches his analytical capabilities, allowing him to apply sophisticated modeling techniques to financial data. As he continues to push the boundaries of AI applications in trading, Mark remains dedicated to fostering a culture of innovation and collaboration at Futures-Financial.ai, positioning the company at the forefront of the rapidly evolving fintech landscape.
