Summary
Alice Martin is a research engineer in AI with eight years of experience bridging academic research and applied machine learning, currently developing algorithms for image and time-series analysis in cell biology at CEA-Leti. She holds a PhD in Machine Learning from École Polytechnique where she led projects on deep sequential models and uncertainty quantification, supervised engineering collaborators, and managed a research chair’s operations and outreach. Comfortable across Python, TensorFlow, PyTorch and cloud/cluster environments, she has taught ML topics from clustering to reinforcement learning and NLP at universities and bootcamps. Her background in engineering and business (ISAE‑SUPAERO) and a stint in product-driven roles at Zodiac Aerospace give her a rare mix of technical rigor and market-aware execution. She is experienced in organizing hackathons and community events, signaling strong stakeholder and project-management skills beyond pure research. Colleagues describe her as a pragmatic researcher who ships reproducible code and translates complex models into practical tools for scientific teams.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at École Polytechnique
French Classes Préparatoires, Mathematics, Physics, French Classes Préparatoires, Mathematics, Physics at Lycée Hoche
Master of Science in Engineering, Major in Financial Engineering, Master of Science in Engineering, Major in Financial Engineering at ISAE-SUPAERO
French, English, Spanish, Latin