Edwin Simpson
Lecturer at University of Bristol
United Kingdom
Summary
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Senior🎓
Top SchoolEdwin Simpson is a lecturer and researcher in NLP and machine learning with 12 years of experience bridging academic research and applied data science across the UK and Germany. He holds a DPhil in Machine Learning from Oxford and has worked on Bayesian methods for crowdsourcing, Gaussian processes, and scalable variational inference, with applications from citizen science to disaster response. Currently splitting time between the University of Bristol and TU Darmstadt, he focuses on interactive NLP and Bayesian approaches to low-quality and small-data problems. His background includes industry-facing research and consulting—running confidential data science projects for commercial clients—and prototyping fast-turnaround tools for real-world crises. Edwin combines deep probabilistic modelling expertise with practical software development experience dating back to enterprise engineering roles at HP and earlier product work. Colleagues would note his knack for turning principled Bayesian ideas into deployable systems that improve noisy, human-in-the-loop decision making.
12 years of coding experience
4 years of employment as a software developer
PhD, Machine Learning, PhD, Machine Learning at University of OxfordErasmus Year Abroad, Computer Science, Erasmus Year Abroad, Computer Science at Technische Universität DresdenMEng, Computer Science, 1st Class, MEng, Computer Science, 1st Class at University of Bristol
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (15)
preference10
bayesian9
scalable8
phonetics7
acl7
machine-learning7
computational-linguistics6
classifier6
natural-language-processing5
science4
python4
dart3
flutter3
website-development1
data-science1
Programming languages (3)
Github contributions (5)
UKPLab/tacl2018-preference-convincing
May 2016 - Sep 2020
Experimental code for the paper 'Finding Convincing Arguments Using Scalable Bayesian Preference Learning'
Contributions:460 commits, 63 pushes, 3 branches in 4 years 5 months
preferencescalablefindingmachine-learningarguments
UKPLab/tacl2020-interactive-ranking
Jun 2020 - Jan 2022
Contributions:335 commits, 7 pushes, 1 branch in 1 year 7 months
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