David Pennock

David Pennock is a Professor at Rutgers University with an affiliation at Microsoft Research. His primary research areas focus on economics and computation, artificial intelligence, and game theory. He explores topics such as prediction markets, incentive-compatible mechanisms, and algorithmic fairness. His work bridges theoretical computer science with practical applications in finance, healthcare, and social systems. He has contributed to foundational research in automated market making, fair division mechanisms, and the ethical implications of AI systems. His interdisciplinary approach integrates computer science, economics, and social choice theory to address complex societal challenges.

Key research interests include:

• Prediction market design and liquidity optimization
• Incentive-compatible wagering mechanisms
• Algorithmic fairness in machine learning
• AI governance and ethical AI frameworks
• Applications of game theory to real-world systems

Recent work emphasizes the intersection of foundation models with strategic decision-making, as well as translational research in healthcare technologies like surgical VR training systems. His publications span top venues in computer science, economics, and interdisciplinary journals. While no formal awards are listed, his extensive contributions to computational economics and AI methodologies have established him as a leading researcher in these fields.