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Gracie Ermi is a highly experienced professional with a strong background in machine learning and research engineering. Gracie began their career as a Machine Learning RSDE Intern at Vulcan Inc. in 2017, where they gained valuable experience in the field. Gracie then went on to serve as an Outreach Coordinator for the Association for Women in Computing from 2015 to 2017, demonstrating their commitment to promoting diversity and inclusion in the tech industry.

In 2018, Gracie joined Vulcan Inc. again as a Software Engineer, working on building deep learning platforms for wildlife scientists. Gracie'sresponsibilities included automating image processing and integrating machine learning models into user-friendly interfaces. Gracie also contributed to training deep learning models for various purposes, such as identifying individual killer whales and detecting wildlife poaching activities.

Continuing their passion for research and technology, Gracie became a Graduate Teaching Assistant at Western Washington University in 2016, where they assisted with teaching and conducted research. Gracie later took on the role of a Student Researcher, further enhancing their expertise in the field.

Gracie's talents and dedication led their to become a part of the IF/THEN program in 2019 as an AAAS IF/THEN Ambassador. In this role, they served as a public speaker and science communicator, inspiring and engaging others in the STEM field.

Gracie's achievements continued to flourish, and in 2021, they joined the Allen Institute for AI (AI2) as a Senior Research Engineer. Here, they worked on developing deep learning platforms for wildlife scientists, mainly focusing on automating image processing and bioacoustics analysis for marine mammals. Gracie successfully led the implementation of a deep learning solution to identify individual dolphins through their whistles.

In their most recent role as a Machine Learning Scientist at Impact Observatory, Gracie brings AI-powered algorithms and on-demand data to sustainability and environmental risk analysis for governments, industries, and markets. Gracie'swork here empowers decision-makers by providing timely, actionable, science-based geospatial insights.

Gracie Ermi's work experience highlights their expertise in machine learning, research engineering, and data analysis. Gracie consistently demonstrates their ability to leverage technology to address complex challenges in environmental sustainability and wildlife conservation.

Gracie Ermi pursued their education chronologically starting from high school to their master's degree. Gracie attended Mount Vernon High School from 2008 to 2012, but no specific degree or field of study is mentioned for this period. Following their high school education, Gracie enrolled at Western Washington University, where they obtained a Bachelor of Science (B.S.) degree in Computer Science. This undergraduate program spanned from 2012 to 2016. Afterward, Gracie continued their academic journey at the same institution and completed a Master's degree in Computer Science from Western Washington University between 2016 and 2017. Additionally, in October 2021, Gracie received a certification called the Nepris Impact Award from Nepris Inc. The details surrounding the certification's institution imply that it is related to their field of study.