Sriram Gopalakrishnan, Ph.D.

Sriram Gopalakrishnan, Ph.D.

AI Research Lead at J.P. Morgan Chase | Sequential-Decision Making Problems, Human-AI Interaction, & Generative AI

Enterprise Task Scheduling Under Uncertainty

Published:

Pillar: Sequential Decision Making
Task Scheduling Context Switching Operations AI Production AI

Overview

When allocating complex interdependent tasks across human teams, ignoring context-switching mental fatigue and task duration variance leads to delayed deadlines and burnout.

  • Developed decentralized heuristic scheduling algorithms that satisfy probabilistic makespans under execution uncertainty (ICAPS 2022).
  • Designed an intuitive constraint-entry user interface allowing non-technical managers to define complex procedural rules without touching code.
  • Successfully deployed into production at J.P. Morgan Chase to optimize critical operational processes.