Laura Onac is a seasoned data scientist and machine learning engineer with extensive experience in both academic and commercial domains. Currently working at the Human Computation Institute, Laura contributes to the validation study for the Beta Catchers citizen science platform. Laura's prior role as a Machine Learning Coordinator at the same institute involved exploring machine learning applications for the Stall Catchers platform. At Lateral Inc., Laura focuses on developing machine learning solutions within the medical field and has co-authored an article published in Radiology Advances. Early career experiences include an AI internship at Yardi, where Laura worked on computer vision for legal document analysis, and roles at Endava that included software testing and the development of chatbot technology. Laura holds a Master's degree in Applied Computational Intelligence and a Bachelor's degree in Computer Science from Babes-Bolyai University.
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