Dr. Marcos López de Prado: A distinguished figure, Dr. López de Prado is a Professor at Cornell University and a recognized expert in quantitative finance. He’s widely acclaimed for his work in applying machine learning algorithms to financial markets.
Dr. Ernest P. Chan: Managing Member of QTS Capital Management, LLC., Dr. Chan’s expertise lies in the application of statistical models and machine learning in quantitative trading. His books provide a wealth of information on algorithmic strategies.
Cathy O’Neil: Author of the influential book “Weapons of Math Destruction,” O’Neil has been a consistent voice on the risks and biases of algorithms in financial decision-making and their broader societal impacts.
Hadelin de Ponteves: As the CEO of BlueLife AI, which harnesses the power of AI to solve business challenges, Hadelin’s courses on AI in finance on platforms like Udemy have educated thousands.
Dr. Yves Hilpisch: Founder of The Python Quants, Dr. Hilpisch specializes in the use of Python in finance, especially for algorithmic trading. His works bridge the gap between finance theory and practical implementation using AI.
Dr. Tucker Balch: An associate professor at Georgia Tech, Dr. Balch’s focus lies in the realm of high-frequency trading and the use of machine learning to optimize and predict stock prices.
Dr. John Hull: Recognized as a leading figure in derivatives, Dr. Hull’s work at the University of Toronto includes research into the potential of AI in predicting financial market movements and risk management.
Saeed Amen: As the founder of Cuemacro, Amen has spent over a decade developing systematic trading models at major investment banks. His work now focuses on using open-source tech stacks for financial analyses.
Dr. Jessica Stauth: As the Managing Director at Fidelity Labs, Stauth’s work emphasizes the power of AI and big data in shaping future investment strategies and enhancing asset management.
Paul Bilokon: Founder of Thalesians, a think tank of dedicated professionals, Paul’s insights into electronic and algorithmic trading, with a particular focus on the role of AI, have been invaluable to the finance community.
