Summary
Sterling Somers is a Consultant in Data Science with 12 years of experience applying computational cognitive modeling to real-world human-AI problems, currently based in Pittsburgh. He builds predictive, generative models of human behavior across domains like visual imagery, motor control, decision making, and human-machine teaming, and has translated that research into industry-relevant deliverables at Dell Technologies. Sterling led DARPA-funded work on Explainable AI, developing a novel "Cognitive Salience" algorithm that links reinforcement learner behavior to human mental models and surfaces shared task-relevant features. His background spans academic research, simulation development, online experimental infrastructure (Flask/AWS), and teaching, giving him a rare blend of theoretical rigor and practical engineering. He is particularly focused on human-centric AI and designing systems that prioritize shared understanding between humans and agents.
12 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy, Cognitive Science, Doctor of Philosophy, Cognitive Science at Carleton University