Joel Dyer Email
ML Scientist @ Skyral
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Joel Dyer Location
- London, England, GB
Joel Dyer Work
- ML Scientist @ (January 2026 - Present)
- Senior Research Fellow @ (March 2024 - January 2026)
- Research Fellow @ (February 2023 - March 2024)
- Affiliated Researcher @ (October 2019 - February 2023)
- ML Scientist @ (February 2023 - January 2026)
- Tutor @ (October 2019 - January 2024)
- PhD Student in ML @ (September 2018 - August 2022)
- AI Consultant @ (February 2023 - January 2026)
- ML Scientist @ (August 2019 - January 2023)
- Alan Turing Enrichment Student @ (September 2021 - December 2022)
- Visiting Researcher @ (July 2021 - August 2021)
- Data Scientist @ (July 2019 - October 2019)
- Research Student, Computational Neurodynamics Group @ (July 2017 - September 2017)
- Software Engineer @ (June 2016 - September 2016)
Joel Dyer Education
- University of Oxford
Doctor of Philosophy - PhD (Mathematics (Machine Learning and Statistics))
2018-2022 - Imperial College London
MSci (Physics)
2013-2017
Joel Dyer Skills
- Agent-based Modeling
- Agile Methodologies
- Agile Project Management
- Applied Machine Learning
- Artificial Intelligence (AI)
- Bayesian inference
- Bayesian methods
- C++
- Causal Analysis
- Communication
- Computational Physics
- Computational Social Science
- Data Science
- Decision Science
- Deep Learning
- Deep Neural Networks (DNN)
- Git
- Github
- Graph Theory
- Industrial Experience
- Linux
- Machine Learning
- Mathematics
- Matlab
- Matplotlib
- Modeling and Simulation
- Monte Carlo
- NumPy
- Oral Communication
- Parameter Estimation
- Physics
- Probabilistic Generative Models
- Probability Theory
- Programming
- Project Management
- PyTorch
- Python
- Python (Programming Language)
- Research
- SciPy
- Science
- Scientific Papers
- Signal Processing
- Statistical Inference
- Statistics
- Stochastic Processes
- Teaching
- Team Building
- Team Coordination
- Team Facilitation
- Team Leadership
- Team Management
- Teamwork
- Time Series Analysis
- Unix
Joel Dyer Summary
- Joel Dyer, based in London, England, GB, is currently a ML Scientist at Skyral. Joel Dyer brings experience from previous roles at The Institute for New Economic Thinking at the Oxford Martin School and University of Oxford. Joel Dyer holds a 2018 - 2022 Doctor of Philosophy - PhD in Mathematics (Machine Learning and Statistics) @ University of Oxford. With a robust skill set that includes Agent-based Modeling, Agile Methodologies, Agile Project Management, Applied Machine Learning, Artificial Intelligence (AI) and more. Joel Dyer has 1 emails on RocketReach.
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