Megan Shearer is currently a Senior Data Scientist on JHI Data Science & Advanced Analytics team where she currently leads the team’s Generative AI projects. Megan has a Bachelor of Science degree in Math from University of Arizona and a PhD in Computer Science from the University of Michigan, where she used AI, machine learning, and market data to study the impact of various trading strategies on markets. Her research focused on the impacts of certain trading strategies during market volatility events and adversarial trading strategies learned through deep reinforcement learning. Her works provided insight into how market participants and impacted by certain trading strategies and how the financial regulatory space may change as AI and machine learning become more prevalent in markets. While at Michigan, she consulted at FINRA and IEX, as well as interning in JP Morgan’s AI Research group.