Claire Pajot

Claire Pajot is a skilled professional in the field of machine learning and artificial intelligence, currently serving as a Member of Technical Staff at Adept since April 2023. Claire has prior experience as a Machine Learning Engineer at Scale AI, focusing on synthetic data and Nucleus. Research contributions were made at Stanford University School of Engineering in the Stanford Machine Learning Group, exploring GAN applications in medicine. Additionally, Claire held positions at the Boston Consulting Group, evaluating technological solutions for digital connectivity and shaping cloud advisory strategies, and at the University of Pennsylvania's Positive Psychology Center, analyzing social media language of individuals with binge-eating disorder. Earlier career experiences include a research role at AQR Capital Management and a teaching assistantship in Economics at the University of Pennsylvania. Claire holds a Master of Science in Computer Science with a specialization in Artificial Intelligence from Stanford University and a Bachelor's degree in Computer Science and Economics from the University of Pennsylvania.