Justin Aronson
About Justin Aronson
Justin Aronson is an AI Data Scientist currently employed at Datasite in Minneapolis, Minnesota. He previously worked as a Researcher 3 at the University of Minnesota Medical School, where he focused on neuroscience research and developed novel neuroimaging technologies.
Work at Datasite
Justin Aronson has been employed at Datasite as an AI Data Scientist since 2021. His role involves applying artificial intelligence techniques to enhance data analysis and decision-making processes. He contributes to the development of innovative solutions that leverage machine learning and statistical modeling to support business objectives. His work is based in Minneapolis, Minnesota, where he collaborates with a team of data professionals to drive advancements in AI technology.
Education and Expertise
Justin Aronson earned a Bachelor of Science degree in Neuroscience from the University of Minnesota College of Biological Sciences. His academic focus included Computational Neuroscience, equipping him with a strong foundation in both biological sciences and computational methods. His expertise encompasses statistical modeling, machine learning, high performance computing, and big data analytics. He is also skilled in full-stack development, enabling him to work across various layers of technology.
Background
Before joining Datasite, Justin worked as a Researcher 3 at the University of Minnesota Medical School from 2017 to 2021. During his four-year tenure, he engaged in neuroscience research, specifically studying error encoding and predictive models in the Cerebellum. He developed novel neuroimaging technologies and analyses, contributing to advancements in understanding neurological conditions. His research included working on neuropathological models related to traumatic brain injuries, glioblastomas, Alzheimer's disease, and addiction.
Technical Skills
Justin Aronson possesses fluency in multiple programming languages, including Python, MATLAB, R, Julia, Java, C++, Javascript, and SQL. This diverse skill set allows him to tackle complex data challenges and implement effective solutions in his work. His proficiency in these languages supports his expertise in statistical modeling and machine learning, making him a valuable asset in the field of AI and data science.