Pricing and Revenue Management

Pricing and Revenue Management

Faculty Research Interests

healthcare policies, healthcare operations, scheduling of diagnostic and surgical resources, control of medical formularies, pricing and designing of supply contracts for pharmaceuticals,management of public vaccine-stockpiles

dynamic optimization under uncertainty, robust optimization, combinatorial optimization, applications in electricity markets and revenue management

dynamic pricing, discrete choice modeling, assortment optimization, design and pricing of bundles, real options

behavioral finance, portfolio choice, asset pricing, and risk management when investors are not fully rational; applied probability topics such as stochastic control and optimal stopping

dynamic pricing, revenue management, machine learning, logistics, supply chain management, algorithmic trading, statistical arbitrage, traffic flow modeling, and transportation analysis

logistics, optimization, pricing and revenue management, and supply chain management