Dmitrii Krasheninnikov
Research Fellow, AI Safety at Anthropic
Stony Stratford, England, United Kingdom
Summary
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Senior🎓
Top SchoolDmitrii Krasheninnikov is an AI safety researcher and machine learning engineer with 11 years of experience bridging academic rigor and applied RL/robotics work. Currently a Research Fellow at Anthropic, he completed a PhD in Machine Learning at the University of Cambridge and has a track record of impactful internships and roles at CHAI, SonyAI and The Curious AI Company. His research has produced novel contributions to inverse reinforcement learning, reward aggregation and partially observable RL—papers presented at ICLR and NeurIPS workshops—while also delivering practical systems for robotics and stable deep learning training. Dmitrii combines formal theoretical thinking with hands-on engineering, from memory-efficient bioinformatics algorithms to autonomous ROS vehicles, and is actively seeking ML research roles in academia or industry. An understated strength is his ability to translate misspecified reward models into usable distributions, a thread that links his theoretical and applied work.
11 years of coding experience
5 years of employment as a software developer
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at University of Amsterdam
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (10)
reward8
python6
lasagne6
theano6
machine-learning3
skynet3
intelligent2
nlp1
ros1
natural-language-processing1
Programming languages (2)
Github contributions (5)
krasheninnikov/max-causal-ent-irl
Aug 2017 - Nov 2018
Contributions:155 commits, 109 pushes, 4 branches in 1 year 3 months
krasheninnikov/internalization
Oct 2023 - Aug 2024
Code for the paper "Meta- (out-of-context) learning in neural networks"
Contributions:19 reviews, 3 PRs, 49 pushes in 10 months
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