Phillip Schafer
About Phillip Schafer
Phillip Schafer serves as the Director of Data Science at IronNet in Fulton, Maryland, a position he has held since 2018. With a background in physics and extensive experience in data science, he has previously worked at institutions such as Penn State University and Yale University.
Work at IronNet
Phillip Schafer has served as the Director of Data Science at IronNet since 2018. In this role, he is responsible for overseeing data science initiatives and strategies within the company. His tenure at IronNet has spanned six years, during which he has contributed to the development and implementation of data-driven solutions to enhance cybersecurity measures.
Education and Expertise
Phillip Schafer holds a Bachelor of Science (BS) in Physics from Yale University, where he studied from 2002 to 2006. He further advanced his education at Penn State University, earning a Doctor of Philosophy (Ph.D.) in Physics from 2008 to 2015. His academic background provides a strong foundation for his expertise in data science and analytics.
Background
Before joining IronNet, Phillip Schafer held various positions in academia and industry. He worked as a Graduate Researcher at Penn State University from 2008 to 2015 and as a Research Associate at Yale University for nearly a year in 2007-2008. He transitioned to industry roles, serving as a Senior Data Scientist at Optoro from 2015 to 2018 and as a Data Science Mentor at Thinkful for one year in 2018-2019.
Previous Experience
Phillip Schafer's professional journey includes significant roles in education and research. He worked as an Associate Science Teacher at Hong Kong International School from 2006 to 2007. Additionally, he was a Fellow at The Data Incubator for two months in 2015, where he gained further insights into data science methodologies.