Sterling Somers

Consultant, Data Science

Pittsburgh, Pennsylvania, United States
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Summary

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Senior
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Top School
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.
code12 years of coding experience
job4 years of employment as a software developer
bookDoctor of Philosophy, Cognitive Science, Doctor of Philosophy, Cognitive Science at Carleton University
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Github Skills (7)

hosts5
jekyll5
starcraft4
machine-learning4
act4
python3
lisp2

Programming languages (2)

HTMLPython

Github contributions (5)

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Contributions:4 PRs, 58 pushes, 27 branches in 2 years 11 months
actstarcraftact-rlisp
sterlingsomers/cmu_gym

Jul 2018 - Oct 2020

Contributions:195 pushes, 48 branches in 2 years 3 months
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Sterling Somers - Consultant, Data Science