Jordan Thayer is a postdoctoral researcher at the the Machine Reasoning Lab at Linköping Universitet. Her focus is on solving challenging planning problems under resource constraints. This might mean limiting the amount of available time, limiting the memory available for solving the problem, or restricting the quality of the solution to be within a certain factor of optimal. Often it means two or three of the elements from that list. She is interested both in the creation of algorithms for those sorts of problems as well as learning control information, be it bounding heuristics or guiding heuristics, in an effort to produce systems more capable of solving computationally intractable problems under the aforementioned constraints.
Stale Industrial About
In a previous life, I was an industrial consultant, you can read about that below.
Jordan Thayer is an AI strategist and systems thinker with over a decade of experience applying artificial intelligence in both academic and industrial settings. She earned her PhD in AI in 2012, and since then has worked across domains including intrusion detection, planning, static analysis, and program synthesis.
Today, she helps teams design, implement, and train around AI systems that actually work in the real world. Whether she’s prototyping a solution, mentoring developers, or running hands-on workshops, Jordan focuses on making AI both practical, suited to real problems, and practicable, feasible to maintain, scale, and understand.
As a consultant and educator, she bridges the gap between research and reality, helping organizations move beyond the hype to build thoughtful, effective AI-enabled systems.
Where to Find Me
These days I’m working for the Machine Reasoning Lab at Linköping Universitet