Logan Cross
Postdoctoral Researcher at Stanford University
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolLogan Cross is a postdoctoral researcher at Stanford with a decade of experience at the intersection of computer science, machine learning, and cognitive neuroscience. He develops LLM-based and deep RL agents to model complex decision-making and social cognition, including a novel "Hypothetical Minds" ToM module that uses natural-language Bayesian approximations to infer others’ latent states. His work bridges human neuroimaging (fMRI) analyses and agent benchmarks—building a Unity-based environment and engineering pipelines to compare model and human behavior. Previously a Caltech PhD and a research stint at DeepMind, he combines rigorous cognitive tests with scalable ML engineering to push human-centered AI. Colleagues describe him as equally at home designing cognitive experiments and shipping reproducible training infrastructure.
10 years of coding experience
Bachelor of Science - BS, Neuroscience, Bachelor of Science - BS, Neuroscience at University of Southern CaliforniaCalifornia Institute of Technology
Github Skills (5)
alchemy6
meta5
benchmark3
reinforcement-learning2
deep-learning2
Programming languages (3)
Github contributions (5)
locross93/Bundles_bdm_only
Jun 2018 - Aug 2024
Contributions:48 pushes, 3 branches in 6 years 3 months
locross93/SocialWorldModeling
May 2023 - Oct 2023
Social World Modeling Benchmark and Analysis
Contributions:5 PRs, 389 pushes, 4 branches in 5 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.