Jonathan Toner Email & Phone Number | I am currently a Senior Research Scientist at Amazon Flex specializing in machine learning, statistical modeling, and optimization. My work focuses on developing automated systems for global capacity planning, user behavior analysis, and forecasting models. Before my time at Amazon, I was a UW geoscience professor researching the geochemistry of extreme environments on Earth, Mars, and other planetary bodies. Programming Languages: Python, R, Matlab, SQL. Disciplines: Statistics, optimization, operations research, machine learning, geoscience. Methods: Probabilistic models, Markov chains, behavioral choice models, timeseries analysis and forecasting, nonlinear optimization, dynamic programming, supervised and unsupervised learning, logistic regression, random forests, neural networks, A/B testing. Tools and Packages: TensorFlow, TensorFlow Probability, scikit-learn, SciPy, Pandas, NumPy, Statsmodels, XGBoost, Git, Jupyter Notebooks.

Jonathan Toner

I am currently a Senior Research Scientist at Amazon Flex specializing in machine learning, statisti...
Seattle, Seattle, United States

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Jonathan Toner’s Email tonerj@amazon.com

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Jonathan Toner’s Location Seattle, Seattle, United States

Jonathan Toner’s Current Industry Amazon University Of Washington

Jonathan Toner’s Prior Industry Nasa National Aeronautics And Space Administration

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Senior Research Scientist

2022-03-01 00:00:00 - Present

Affiliate Assistant Professor

2020-05-01 00:00:00 - Present

NASA Postdoctoral Program

2014-01-01 00:00:00 - 2015-06-01 00:00:00

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Jonathan Toner is a I am currently a Senior Research Scientist at Amazon Flex specializing in machine learning, statistical modeling, and optimization. My work focuses on developing automated systems for global capacity planning, user behavior analysis, and forecasting models. Before my time at Amazon, I was a UW geoscience professor researching the geochemistry of extreme environments on Earth, Mars, and other planetary bodies. Programming Languages: Python, R, Matlab, SQL. Disciplines: Statistics, optimization, operations research, machine learning, geoscience. Methods: Probabilistic models, Markov chains, behavioral choice models, timeseries analysis and forecasting, nonlinear optimization, dynamic programming, supervised and unsupervised learning, logistic regression, random forests, neural networks, A/B testing. Tools and Packages: TensorFlow, TensorFlow Probability, scikit-learn, SciPy, Pandas, NumPy, Statsmodels, XGBoost, Git, Jupyter Notebooks.