Charlie Marx
PhD Graduate Student
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolCharlie Marx is a Stanford Computer Science PhD student based in Palo Alto focused on uncertainty quantification, deep generative modeling, and decision-making in machine learning. With eight years of experience and a mathematics-heavy foundation (BS, 3.96, Haverford), he combines theoretical rigor with hands-on applied research. He interned twice as an Applied Science intern at AWS, helping bridge research and production, and has interdisciplinary experience applying ML to policy and scientific problems at IFPRI and Harvard. His work centers on making probabilistic and generative models reliably actionable for real-world decision-making.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Mathematics and Computer Science, 3.96, Bachelor of Science - BS, Mathematics and Computer Science, 3.96 at Haverford CollegeDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (37)
black-box9
machine-learning-models7
robustness7
keras7
probabilistic-graphical-models6
api6
probabilistic6
machine-learning6
graphical-models6
simulation6
reinforcement-learning6
cli5
collaboration5
auditing5
hyperparameter-tuning5
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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