Dan Simpson Email
Staff Machine Learning Engineer @ .txt
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Dan Simpson Location
- New York, NY, US
Dan Simpson Work
- Staff Machine Learning Engineer @ (October 2024 - Present)
- Machine Learning Lead @ (April 2023 - May 2024)
- Director of Analytics Engagement and Professor of Statistics @ (May 2021 - July 2022)
- Associate Professor (with tenure) @ (July 2017 - April 2021)
- Board Member @ Stan Governing Board (January 2018 - January 2019)
Dan Simpson Education
- QUT (Queensland University of Technology)
Doctor of Philosophy - PhD (Numerical Analysis and Statistics)
2006-2009
Dan Simpson Skills
- Approximate Bayesian Inference
- Approximate Inference
- Bayesian inference
- Bayesian statistics
- C++
- Causal Inference
- Data Science
- Gaussian Processes
- Large Language Models (LLM)
- Machine Learning
- Markov Chain Monte Carlo
- Multilevel Modeling
- Open Source Software
- Python (Programming Language)
- R (Programming Language)
- Research
- Spatial Analysis
- Spatial Modeling
- Stan
- Statistical Computing
- Statistical Modeling
- Statistics
- Survey Statistics
- Teaching
Dan Simpson Summary
- Dan Simpson, based in New York, NY, US, is currently a Staff Machine Learning Engineer at .txt. Dan Simpson brings experience from previous roles at Normal Computing, Monash University, University of Toronto Department of Statistical Sciences and Stan Governing Board. Dan Simpson holds a 2006 - 2009 Doctor of Philosophy - PhD in Numerical Analysis and Statistics @ QUT (Queensland University of Technology). With a robust skill set that includes Approximate Bayesian Inference, Approximate Inference, Bayesian inference, Bayesian statistics, C++ and more. Dan Simpson has 1 emails on RocketReach.
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