Cameron Allen
Postdoctoral Researcher at University of California, Berkeley
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolCameron Allen is a postdoctoral researcher at UC Berkeley’s Center for Human-Compatible AI with 11 years of experience bridging academic research and high-assurance engineering. He holds a PhD in Computer Science from Brown and has deep systems and communications expertise from prior roles at MITRE, where he developed high-throughput SDR and FPGA solutions for defense systems. Cameron’s work emphasizes scalable, provable system behavior—ranging from parallel Viterbi decoders and self-optimizing UHF mesh radios to human-compatible AI research—demonstrating a knack for turning theoretical ideas into fielded prototypes. He has taught as a lecturer at Berkeley and maintains a public research presence through his website rather than LinkedIn. Notably, his engineering background includes successful technology demonstrations to NATO and contributions that influenced UK MoD specifications, reflecting both technical depth and practical impact. Based in Berkeley, he combines rigorous academic methods with production-minded software and hardware design.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Duke UniversityDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Brown UniversityBS, Electrical Engineering, BS, Electrical Engineering at Tufts University
Stackoverflow
1reputation
51reached
0answers
1question
Github Skills (80)
nteract10
mdp10
markov10
jupyter-kernels10
hyperparameters10
hydrogen10
plot9
ipython9
inspect9
python8
firefox-addon8
jupyterlab8
mozilla8
jupyterlab-extension8
jupyter8
Programming languages (7)
Github contributions (5)
camall3n/markov-state-abstractions
Jan 2019 - Oct 2021
Image-based gridworld experiment for learning Markov state abstractions
Contributions:2 releases, 417 commits, 2 PRs in 2 years 10 months
abstractionsgridworldmarkov
camall3n/onager
Jun 2020 - Dec 2022
Lightweight python library for launching experiments and tuning hyperparameters, either locally or on a cluster
Contributions:2 reviews, 142 commits, 13 PRs in 2 years 6 months
python-librarypythontuning-hyperparametershyperparameterslocally
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.