About

My name is David Menager. I have a Ph.D. in Computer Science from the University of Kansas, where I developed computational models of episodic memory and integrated theories of cognition. I’m a senior AI research scientist specializing in human-like decision-making systems that reason, learn, and act under uncertainty. My interdisciplinary research cuts across frontiers in Artificial Intelligence, Computer Science, Philosophy, and Psychology.

I have served as a DARPA principal investigator, shaping, wining, and leading funded research programs. And I turn foundational AI research into trustworthy autonomous systems, decision support aids, and analytic tools. I am excited about roles where I can both shape ambitious technical visions and execute them end-to-end.

I am the recipient of the Self Graduate Fellowship and is a National GEM Consortium Fellow. In my free time, I like to produce music and go running. 

Curriculum Vitae

Selected Invited talks

ICCBR, 2025
Levels of AI Memory—And Case-Based Ways for LLMs to Ascend Them
Biarritz, France

ICCBR, 2023
Hybrid Event Memory as a Case Base for State Estimation in Cognitive Agents
Aberdeen, Scotland

IPM2, 2019
A Hybrid Theory of Event Memory
Grenoble, France

AAAI Spring Symposium, 2018
Learning Planning Operators from Episodic Traces
Palo Alto, CA