Bill Derose is a Staff Machine Learning Engineer at Gauntlet, where he plays a pivotal role in addressing the intricate economic challenges faced by the Decentralized Finance (DeFi) sector. With a robust background in machine learning and data science, Bill leverages his expertise in deep...
Bill Derose is a Staff Machine Learning Engineer at Gauntlet, where he plays a pivotal role in addressing the intricate economic challenges faced by the Decentralized Finance (DeFi) sector. With a robust background in machine learning and data science, Bill leverages his expertise in deep learning, statistical machine learning, and algorithm optimization to enhance Gauntlet's state-of-the-art simulations and financial modeling platform. His work is instrumental in driving capital efficiency while ensuring economic safety for some of the largest protocols in the crypto space.
At Gauntlet, Bill is currently focused on key projects that involve refining DeFi incentive structures and mechanism designs through quantitative optimization. His contributions extend to the development of predictive models that help assess the impact of various economic scenarios on protocol performance. By utilizing advanced techniques in reinforcement learning and data mining, he is able to provide actionable insights that guide strategic decision-making for clients navigating the complexities of the DeFi landscape.
Before joining Gauntlet, Bill served as the Engineering Manager of Machine Learning on the Consumer ML team at PayPal, where he honed his skills in software delivery and research. His experience as a contributor to Scikit-Learn and Apache Airflow underscores his commitment to advancing the field of machine learning. With a strong command of tools such as Python, R, and the tidyverse, Bill is well-equipped to tackle the challenges of modern financial systems, making him a valuable asset in the rapidly evolving world of decentralized finance.
