Thomas Brambor
About Thomas Brambor
Thomas Brambor serves as the Director of Data Science at Known, where he has worked since 2019. He holds a PhD in Political Science from Stanford University and has extensive experience in data science and academia.
Current Role at Known
Thomas Brambor serves as the Director of Data Science at Known, a position he has held since 2019. In this role, he drives at-scale experimentation to inform product and model development within programmatic advertising. He leads the development and implementation of operations focused on building machine-learning models and automation. Additionally, he is responsible for setting up and maintaining a Business Intelligence (BI) platform that delivers reporting insights to clients, enhancing the overall data-driven decision-making process.
Previous Experience in Data Science
Before joining Known, Thomas Brambor worked as a Data Scientist at Schireson from 2018 to 2019. He also held the position of Assistant Adjunct Professor at NYU Center for Data Science from 2017 to 2019. His experience includes a fellowship at Insight Data Science in 2018, where he further developed his skills in data science. Additionally, he worked as a Postdoctoral Research Fellow at Lund University from 2012 to 2016, contributing to research in the field.
Education and Academic Background
Thomas Brambor earned his PhD in Political Science with a specialization in Statistical Methodology and Political Economy from Stanford University, studying from 2005 to 2012. He also obtained a Master of Arts in Economics from Stanford University between 2008 and 2010. Earlier, he completed a Bachelor of Arts in Economics and Political Science at New York University from 2001 to 2004, followed by a year of study in Political Economy at NYU in 2010-2011.
Teaching Experience
In addition to his role at Known, Thomas Brambor has been an Assistant Adjunct Professor in Data Science at Columbia University since 2017. His teaching experience includes two years at NYU Center for Data Science, where he contributed to the academic development of students in the field. His involvement in academia reflects his commitment to education and the advancement of data science knowledge.