Charlie Marx
Computer Scientist at Stanford
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolCharlie Marx is a Stanford PhD candidate in computer science with nine years of experience researching foundation models, decision-making under uncertainty, and multimodal learning. He has applied his academic work in industry through AWS internships focused on factuality for large language models and uncertainty quantification for time-series forecasting. Based in Palo Alto, he blends rigorous mathematical training from Haverford with hands-on applied science at top research labs, making theory operational in real-world ML systems. Known for tackling uncertainty and alignment challenges, he brings a thoughtful, research-driven approach to building reliable multimodal AI.
8 years of coding experience
Bachelor of Science - BS, Mathematics and Computer Science, Bachelor of Science - BS, Mathematics and Computer Science at Haverford CollegeDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (35)
machine-learning-models7
robustness7
keras7
probabilistic-graphical-models6
api6
probabilistic6
machine-learning6
graphical-models6
simulation6
reinforcement-learning6
cli5
collaboration5
auditing5
hyperparameter-tuning5
tensorflow5
Programming languages (4)
Github contributions (5)
charliemarx/pmtools
Oct 2019 - Dec 2020
Contributions:7 commits, 6 pushes, 1 branch in 1 year 2 months
charliemarx/MLResearch
Aug 2018 - Feb 2019
Contributions:11 pushes, 4 branches in 6 months
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