Luke Corwin
About Luke Corwin
Luke Corwin is a Big Data Engineer currently working at Anteriad in Ormond Beach, Florida. He has a strong background in physics, with previous roles as a professor and research associate, and has contributed to numerous publications involving large data sets.
Work at Anteriad
Luke Corwin has been employed at Anteriad as a Big Data Engineer since 2021. His role involves working with large data sets and applying big data technologies to support the company's objectives. Anteriad is located in Ormond Beach, Florida, where Corwin contributes to various projects that leverage data analytics for business insights.
Education and Expertise
Luke Corwin holds a Bachelor of Science in Physics from the University of Minnesota, which he completed from 1999 to 2003. He furthered his education at The Ohio State University, earning a Ph.D. in Physics between 2003 and 2008. His academic background provides a strong foundation for his expertise in data analysis and engineering.
Background
Before joining Anteriad, Luke Corwin served in various academic and research roles. He was a Visiting Assistant Professor at Stetson University for ten months in 2020 to 2021. Prior to that, he worked as a Research Associate at Indiana University Bloomington from 2009 to 2013 and as an Assistant Professor of Physics at the South Dakota School of Mines and Technology from 2013 to 2020.
Achievements
Luke Corwin has a notable record of contributions to the field of physics and data analysis. He has verified the quality of 2,700,000 gallons of liquid scintillator for an active particle physics detector. Additionally, he has authored or contributed to 263 publications that involve large data sets, some reaching sizes of up to 40 terabytes. His work includes organizing international conferences and supervising working groups in physics data analyses.
Volunteer Experience
In 2021, Luke Corwin volunteered as a Junior Machine Learning Engineer for Omdena, where he worked on a project aimed at quantifying the impact of forest landscape restoration through predictive analytics for the Trillion Tree Fund. This experience reflects his commitment to applying data science for environmental and social causes.