Summary
Oriane Peter is an AI & Democracy researcher and machine learning engineer with a decade of experience building production-ready NLP and computer vision systems across healthcare, enterprise, and media. Currently pursuing a PhD in Responsible AI at King’s College London after an MSt in AI Ethics from Cambridge, she investigates how homogenized LLM outputs affect democratic systems. Her background spans end-to-end model development and productionalisation—shipping multilingual transformer models, scaling NLP pipelines, and implementing AI quality management at Zühlke and Starmind. She pairs technical fluency in Python and Scala with domain experience in real-world evidence and patient subtyping from EHR data. A former journalist and partnerships lead, she brings a rare blend of science communication, stakeholder negotiation, and hands-on engineering to interdisciplinary research. Her work is notable for bridging rigorous ML deployment practices with normative questions about AI’s societal impacts.
10 years of coding experience
4 years of employment as a software developer
MSt, AI Ethics and Society, MSt, AI Ethics and Society at University of Cambridge
Master's degree, Data Science, Master's degree, Data Science at EPFL
Doctor of Philosophy - PhD, Responsible AI, Doctor of Philosophy - PhD, Responsible AI at King's College London
French, English, German