Samsara Foubert is a PhD researcher at Carnegie Mellon with a decade of experience building and operationalizing machine learning systems that influence real-world decision-making. Previously at Amazon and AWS, they productionized abuse-detection and explainability tools, led responsible-AI infrastructure, and co-led fairness and bias audits for large-scale services. Their background spans applied ML engineering, research internships at Max Planck and Microsoft Research, and academic projects on matching, fairness, and diversity—bridging theory and production. Samsara combines deep technical chops in ML deployment and monitoring with a strong focus on ethical AI, having implemented language support and operational on-call practices across services. They also bring interdisciplinary communication skills from teaching and international fellowships, including immersive study and research in Germany. Notably, their work blends algorithmic innovation with practical mitigation strategies to make ML systems both effective and auditable.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science in Computer Science and Mathematics with a minor in Creative Writing Pure Mathematics, Bachelor of Science in Computer Science and Mathematics with a minor in Creative Writing Pure Mathematics at The George Washington University
High School Diploma, High School Diploma at Trinity Valley School
Doctor of Philosophy - PhD Societal Computing, Doctor of Philosophy - PhD Societal Computing at Carnegie Mellon University
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Samsara Foubert - Doctoral Researcher at Carnegie Mellon University