Steve Bronder is a software engineer at the Flatiron Institute and a developer for the Stan programming language. He specializes in computational statistics and has been contributing to open-source software for more than ten years. Steve focuses on high-performance computing related to automatic differentiation as well as algorithms optimized for modern CPUs and GPUs. His other lines of research focus on time series forecasting and methodology validation for machine learning models. His research interest include high performance computing, Bayesian statistics, and open source development. After finishing his masters in Quantitative Methods In the Social Sciences at Columbia University, he began working as a Data Scientist at Capital One. There he focused on Risk Modeling for collateralized debt obligations and teaching business colleagues how to automate the boring parts of their jobs.

Steve Bronder is available for Consulting services through Varkara LLC, please send an email to varkara@stevebronder.com for rates.

Steve is originally from Pittsburgh, Pennsylvania and now lives in New York City. He enjoys cooking, playing Dungeons & Dragons / Magic: The Gathering, and working on other open source projects.