Dan Franks
Full Professor @University of York
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WORK HISTORY
Full Professor @University of York
York, GB
EDUCATION
University of Leeds
Doctor of Philosophy (Ph.D.), Computer Science
University of Leeds
Doctor of Philosophy - PhD, Computer Science
Sheffield Hallam University
Bachelor's degree, Computer Science
ABOUT DAN FRANKS
I use 20 years of expertise in decision-making with models to remove the guesswork from your most expensive decisions. Standard data modelling approaches tell you what might happen based on the past. Our causal approach tells you what will happen if you take action to change the future. I post about science, statistics, and machine learning. I\'m a particular champion of causal inference and Bayesian approaches, because they allow businesses to make the best decisions.Causal -> maps to real world decisions- CEO and Co-Founder at Causa- Full Professor of Data Science at the University of York for 20 years- Specialisms: causal machine learning, Bayesian modelling, decision making with data, Bayesian Adaptive Experimentation, optimisation, computer vision, scientific method- Published author in top international journals including Science & Nature- Previously Senior Research Scientist and Modelling Research Lead at Improbable
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