Decision Analytics for Business & AI
Pricing, finance, market design, generative AI, and agentic AI
This stream translates the statistical foundations from the other two streams into decision systems for business, economics, finance, and AI — environments that must learn under uncertainty, exploit structured high-dimensional information, adapt to heterogeneity, and operate under latency, strategic interaction, and operational constraints. Two connected directions: business decision systems (revenue management and pricing, finance, trade, and market design) and structured, reliable AI systems (generative AI with structured representation and uncertainty quantification, and agentic AI for reliable reasoning, coordination, and workflow optimization).
Representative work: Dynamic Contextual Pricing with Doubly Non-Parametric Random Utility Models (Management Science, 2026), Seeing Through the Brain (ICLR 2026 Oral), Maximal Extractable Value in Batch Auctions (ACM EC, 2025), ACT-Tensor (ICAIF, 2025). See publications for the full list.