Berke Mustafa Turkay
Education
Sc.B., Applied Mathematics–Economics, Brown University
MPA, Brown University
Berke Turkay is a PhD student in Supply Chain and Operations Management at Purdue University’s Daniels School of Business. His research combines applied probability, optimization, and stochastic systems to improve operational decision-making under uncertainty. Supported by the Presidential Excellence Ph.D. Award, he works across three connected areas:
1) Risk-averse Operational Data Analytics for inventory and newsvendor problems, with Professors Qi (Annabelle) Feng and J. George Shanthikumar.
2) Semiconductor supply-chain resilience, through a joint data project with TSMC with Professor David Simchi-Levi, focusing on supply-network mapping, risk analytics, time to recovery, time to survive, and mixed-integer optimization.
3) Stochastic optimal self-transport (BAR-SOT) and entropy-regularized control for queueing networks, with Professor Harsha Honnappa (Industrial Engineering).
More broadly, Berke is interested in inventory control, queueing, stochastic control, dynamic sourcing, multi-echelon systems, and data-driven optimization, with applications in semiconductors, cloud computing, pharmaceuticals, and quality-critical production systems.
Before Purdue, Berke earned an Sc.B. in Applied Mathematics–Economics and an MPA from Brown University, followed by the MITx MicroMasters in Supply Chain Management. He also worked in SaaS sales operations, developing forecasting models, analytics pipelines, and decision-support tools for senior leadership.
