Joshua Grant
About Joshua Grant
Joshua Grant is a Data Engineer at Oak Ridge National Laboratory, where he has worked since 2019. He has a strong background in Linux and experience in data science, having previously held positions at Microbial Insights, Inc. and DC Energy.
Current Role at Oak Ridge National Laboratory
Joshua Grant has been employed as a Data Engineer at Oak Ridge National Laboratory since 2019. In this role, he specializes in automated data ingestion, transformation, statistical analysis, and deep learning. His work supports various research initiatives and projects within the laboratory, contributing to advancements in data science and engineering.
Previous Experience at Microbial Insights, Inc.
Prior to his current position, Joshua worked as a Bioinformatician at Microbial Insights, Inc. from 2016 to 2018. During his tenure, he developed a project that involved creating clickable computer vision derived statistics from micrographs. His role contributed to the company's efforts in bioinformatics and data analysis.
Educational Background in Plant Molecular Biology
Joshua Grant studied at the University of Tennessee, Knoxville, where he earned a Master of Science in Plant Molecular Biology from 2014 to 2016. His academic focus included implementing unsupervised machine learning techniques on various parameters collected from real-world data, enhancing his expertise in data science.
Work Experience in Diverse Sectors
Joshua has a diverse work history that spans academic, environmental, energy, and government sectors. He has held various positions, including a Developer at DC Energy for a brief period in 2018, and a Data Scientist II - Subcontractor at Oak Ridge National Laboratory from 2018 to 2019. His experience in these sectors has equipped him with a broad skill set applicable to data engineering and analysis.
Technical Skills and Expertise
Joshua Grant possesses a strong background in Linux, which supports his work in data science and engineering. His technical skills include automated data ingestion, transformation, statistical analysis, and deep learning. This expertise enables him to effectively handle complex data challenges in his professional roles.