Ben Stetler
About Ben Stetler
Ben Stetler is a researcher at NYU Langone Health, specializing in data analysis pipelines for neuroimaging data and machine learning applications.
Current Position at NYU Langone Health
Ben Stetler is currently working at NYU Langone Health as a Researcher. Since joining in 2018, he has been involved in the development and testing of data analysis pipelines specifically for neuroimaging data. His role includes maintaining computational resources and educating lab members on their use. Additionally, he explores machine learning packages such as TensorFlow and Scikit-learn in Python to enhance his research capabilities.
Previous Roles and Experience
Before his current role, Ben Stetler worked at First Derivatives as a Data Scientist from 2016 to 2017. During the same period, he also served as a Software Engineer at Kx Systems. His earlier experience includes working as a Science Analyst at Infor from 2015 to 2016 in Cambridge, MA. Additionally, Stetler served as an Academic Tutor at Cambridge Coaching for two years and as a Student Lecturer at Harvard University for four months in 2012. His research experience includes positions at Cornell University and Stanford University.
Education Background
Ben Stetler holds a Master of Arts (M.A.) in Mathematics from Harvard University, where he studied from 2011 to 2014. He also earned a Bachelor of Arts (B.A.) in Mathematics from Stanford University, completing his degree between 2007 and 2011. His education provided him with extensive knowledge in mathematical probability and statistics, which he applies in his current and previous roles.
Experience in Data Science and Research
Throughout his career, Ben Stetler has accumulated significant experience in data science and research. His work at NYU Langone Health involves developing data analysis pipelines for neuroimaging, while his previous roles at First Derivatives and Kx Systems focused on data science and software engineering. His research engagements at institutions like Harvard, Cornell, and Stanford further solidified his expertise in academic research.