Stanley Seibert
About Stanley Seibert
Stanley Seibert serves as the Senior Director of Community Innovation at Anaconda, Inc., where he has worked since 2019. He holds a Ph.D. in Physics from The University of Texas at Austin and specializes in Monte Carlo methods and GPGPU, contributing significantly to the data science community through open source projects.
Current Role at Anaconda
Stanley Seibert serves as the Senior Director of Community Innovation at Anaconda, Inc. since 2019. In this role, he oversees initiatives that foster community engagement and collaboration within the data science ecosystem. He manages a team of open source developers, focusing on enhancing contributions to open source Python projects that are vital to the data science community.
Previous Experience at Anaconda
Before his current position, Stanley Seibert held the role of Director of Community Innovation at Anaconda, Inc. from 2015 to 2019. He also worked as a Scientific Software Developer at the same company from 2014 to 2015. His experience at Anaconda has contributed to his expertise in community-driven innovation and software development in the data science field.
Education and Expertise
Stanley Seibert earned his Ph.D. in Physics from The University of Texas at Austin, where he studied from 2002 to 2008. He also holds a B.S. in Physics and Computer Science from Arizona State University, completed from 1998 to 2002. His academic background underpins his specialization in Monte Carlo methods and GPGPU, which are advanced techniques in scientific computing.
Research Experience
Stanley Seibert has a strong research background, having worked as a Postdoctoral Researcher at the University of Pennsylvania Physics Department from 2010 to 2013 and at Los Alamos National Laboratory from 2008 to 2010. Additionally, he served as a Graduate Research Assistant at The University of Texas at Austin from 2002 to 2008, where he contributed to various research projects in physics.