Dillon Gardner
About Dillon Gardner
Dillon Gardner is the Head of Attribute Data Science at Enigma Technologies, Inc. He has a strong academic background in Physics, holding a PhD from the Massachusetts Institute of Technology, and has held various data science roles in notable organizations.
Current Role at Enigma Technologies
Dillon Gardner serves as the Head of Attribute Data Science at Enigma Technologies, Inc. since 2022. In this role, he leads initiatives focused on data science applications related to attribute data, contributing to the company's strategic objectives. His expertise in data analysis and interpretation supports the development of innovative solutions within the organization.
Previous Experience in Data Science
Before joining Enigma, Dillon held several positions in data science. He worked at Apollo Agriculture as Head of Data from 2017 to 2022, where he was responsible for overseeing data-related projects. Prior to that, he was a Data Scientist at nToggle, Inc. from 2016 to 2017 and at EnerNOC from 2015 to 2016, both located in Boston, MA. These roles provided him with a solid foundation in data analytics and management.
Education and Academic Background
Dillon Gardner earned a Doctor of Philosophy (PhD) in Physics from the Massachusetts Institute of Technology (MIT), where he studied from 2009 to 2015. He also holds a Bachelor of Science (B.S.) in Physics from Boston College, completed between 2004 and 2008. His academic training has equipped him with a strong analytical skill set applicable to his professional endeavors.
Teaching Experience at MIT
In addition to his research and data science roles, Dillon served as a Graduate Teaching Assistant at the Massachusetts Institute of Technology (MIT) in 2012. This position lasted for four months and involved supporting undergraduate students in their physics coursework, demonstrating his commitment to education and mentorship.
Involvement with PyData Amsterdam
Dillon has been an Organizing Board Member at PyData Amsterdam since 2022. In this capacity, he contributes to the planning and execution of events that promote the use of data science and open-source tools. His involvement reflects his dedication to fostering community engagement in the data science field.