Chris Caulcrick
Quantitative Research Lead
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolChris Caulcrick is a Quantitative Research Lead based in London with eight years of experience applying machine learning and probabilistic methods to energy trading and portfolio optimisation. He transitioned from a research-focused PhD in Robotics and Machine Learning at Imperial College London—where he developed novel human-robot interaction algorithms and published in top venues—into industry roles at Statkraft, Anglo American and Statera Energy, marrying academic rigor with production trading impact. Chris has a track record of turning advanced models into practical trading strategies and risk-aware systems, and he’s comfortable moving between research, engineering and stakeholder-driven deployment. Notably, his background includes close collaboration with industry partners like McLaren Applied and a brief stint in the Entrepreneur First cohort, reflecting both deep technical roots and entrepreneurial curiosity.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD) Robotics, Doctor of Philosophy (PhD) Robotics at Imperial College London
Stackoverflow
1reputation
0reached
0answers
0questions
Github contributions (5)
cic12/exo_control
May 2019 - May 2021
Contributions:279 commits, 107 pushes, 3 branches in 2 years
cic12/ieee_appx
Feb 2021 - Feb 2021
Contributions:13 commits, 12 pushes, 1 branch in 12 days
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