06/17/2026
When you call an Uber, the platform must make decisions in real-time without knowing future demand, traffic conditions, or driver availability.
Recent PhD graduate Ali Zeynali '26 explored ways to improve decision-making processes for large-scale services like ride-hailing networks, video streaming platforms, and cloud computing services in his dissertation “Online Sequential Decision Making for Resource Allocation.”
The work can help improve the efficiency, quality, and sustainability of these vast systems, making them not only effective on average but also robust and trustworthy when faced with unexpected challenges.
Zeynali will join Databricks as a Machine Learning Engineer. Congratulations!