Daniel Ensign
About Daniel Ensign
Daniel Ensign is a Lead Software Engineer specializing in Machine Learning at Resonate, with a diverse background in data science and research. He has held various positions at notable organizations, including iaso ai, Comcast, and Stanford University.
Current Role at Resonate
Daniel Ensign serves as the Lead Software Engineer in Machine Learning at Resonate. He has held this position since 2022, contributing to the development and implementation of machine learning solutions. His expertise in software engineering and data science supports the company's initiatives in leveraging data for strategic decision-making.
Previous Experience in Data Science
Prior to his current role, Daniel Ensign worked at iaso ai as a Data Science Software Engineer from 2021 to 2022. He also held positions at Comcast as a Data Scientist for three months in 2017, and at NextHealth Technologies, where he served as a Senior Data Scientist for five months in 2019 and later as the Director of Analytics from 2019 to 2020. His experience spans various aspects of data analysis and software development.
Academic Background
Daniel Ensign has a strong academic background in chemistry and data science. He earned a Bachelor of Science degree in Biochemistry from Montana State University-Bozeman from 2001 to 2005. He furthered his studies at Stanford University, where he obtained a Ph.D. in Chemistry between 2005 and 2010. Additionally, he studied Culinary Arts at the Western Culinary Institute from 2000 to 2001.
Research Experience
Daniel Ensign has experience in academic research, having worked as a Postdoctoral Researcher at The University of Texas at Austin from 2010 to 2011. His research background complements his technical skills in software engineering and data science, allowing him to approach problems with a scientific mindset.