Stratis Markou
PhD Candidate
Cambridge, England, United Kingdom
Summary
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RockstarStratis Markou is a PhD candidate in machine learning based in Cambridge with nine years of technical experience and a strong academic backbone spanning a Physics BA, an ML MPhil, and doctoral work at the University of Cambridge. He has research internship experience at Microsoft Research Cambridge and a GitHub profile that emphasizes advanced ML research, signaling fluency in both theoretical and applied machine learning. Comfortable moving between deep research and practical experimentation, he brings rigorous scientific training to prototype development and data-driven problem solving. Colleagues can expect a researcher who blends physics-style analytical thinking with modern ML methods and a track record of contributing to high-impact research environments. An understated strength is his ability to translate complex models into testable hypotheses and reproducible code, an asset for collaborations that bridge academia and industry.
9 years of coding experience
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (44)
reproducible-research10
variational-inference10
jupyter10
classification10
meta-learning10
pdf10
bayesian-deep-learning10
mcmc10
regression10
documentation-generator10
density-estimation10
stochastic-processes10
uncertainty10
bayesian-inference10
dropout10
Programming languages (7)
Github contributions (5)
stratisMarkou/ga_spin_simulations
Aug 2016 - Jan 2019
Contributions:4 PRs, 8 pushes, 5 branches in 2 years 5 months
cambridge-mlg/online_textbook
Aug 2018 - Dec 2021
An interactive textbook on probabilistic models and inference
Contributions:46 commits, 4 PRs, 10 pushes in 3 years 4 months
inferencetextbookmachine-learningprobabilistic-programmingprobabilistic-models
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