Peter Winslow, PhD
About Peter Winslow, PhD
Peter Winslow, PhD, is a Staff Data Scientist at Change.org, where he has worked since 2020. He has a background in theoretical and mathematical physics, with experience in data science roles at various organizations, including Ingrooves Music Group and TRIUMF.
Current Role at Change.org
Peter Winslow serves as a Staff Data Scientist at Change.org since 2020. In this role, he focuses on leveraging data science to support the organization's mission. His work involves analyzing large datasets to derive insights that can enhance user engagement and improve campaign effectiveness.
Previous Experience at Ingrooves Music Group
Prior to his current position, Peter Winslow worked as a Senior Data Scientist at Ingrooves Music Group from 2017 to 2020. During his tenure, he contributed to the design and development of algorithms aimed at discovering custom audiences and estimating return on investment (ROI) from digital music listening data.
Educational Background in Physics
Peter Winslow obtained a Bachelor of Science (B.Sc.) in Physics from The University of Winnipeg, completing his studies from 2002 to 2007. He further pursued advanced studies at The University of British Columbia, earning a Master of Science (M.Sc.) in High Energy Particle Physics / Cosmology from 2007 to 2009, followed by a Doctor of Philosophy (Ph.D.) in the same field from 2009 to 2013.
Research Experience at TRIUMF and University of British Columbia
Peter Winslow has extensive research experience, having worked as a Research Assistant at TRIUMF and the University of British Columbia from 2007 to 2013. He also held a position as a Research Assistant at TRIUMF for three months in 2006. His research contributions include the design and deployment of a dynamic Bayesian network model to detect listener engagement across digital streaming platforms.
Data Science Fellow at Insight Data Science
In 2017, Peter Winslow participated in the Insight Data Science program as a Data Science Fellow for two months in Palo Alto, California. This experience allowed him to further develop his data science skills and apply them in practical settings.