David Watson
Lecturer In Artificial Intelligence at King's College London
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolDavid Watson is a Lecturer in Artificial Intelligence at King's College London with a decade of experience bridging academic research and industry R&D. His work focuses on causal inference and interpretability in systems biology, complemented by teaching machine learning and advising doctoral candidates. Prior roles include postdoctoral research at UCL on causality, directing R&D at ThermoAI on NSF-funded combustion simulation projects, and applied data science in biomedical settings, reflecting a rare mix of theoretical depth and practical deployment. He brings a humanities-informed perspective from degrees in philosophy and social science of the internet, which surfaces in his interest in ethics and the foundations of data-driven decision-making. Notably, he has also translated technical analysis for broader audiences through freelance contributions to The Economist, demonstrating an ability to communicate complex models to non-specialists.
10 years of coding experience
10 years of employment as a software developer
Master’s Degree, Social Science of the Internet, Master’s Degree, Social Science of the Internet at University of OxfordBachelor’s Degree, Philosophy, Bachelor’s Degree, Philosophy at Dartmouth College
English, Spanish, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (63)
predictive9
dos9
azerothcore8
deep-learning8
interpretable-machine-learning8
aio8
machine-learning8
gradient-boosting8
shapley8
r-package8
shap8
xai7
sports-data7
python7
tensorflow6
Programming languages (6)
Github contributions (5)
dswatson/dswatson.github.io
Mar 2020 - Jan 2025
Source code for dswatson.github.io
Contributions:1 PR, 170 pushes, 1 branch in 4 years 10 months
bips-hb/arf
Nov 2022 - Feb 2023
Adversarial Random Forests
Contributions:1 review, 140 commits, 10 PRs in 2 months
pythondeep-learningadversarialmachine-learningforests
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