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66 lines
3.2 KiB
Markdown
66 lines
3.2 KiB
Markdown
---
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title: Arthur Danjou • AI Safety & Applied Mathematics
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description: Research Engineer & Master 2 Student at Paris-Dauphine (ISF). Focusing on AI Alignment, Robustness, and Safe Deep Learning.
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---
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Hey, I'm :home-name, a :hover-text{text="Master 2 student in Statistical & Financial Engineering (Master ISF)" hover="Université Paris-Dauphine - PSL" position="bottom"} at Paris-Dauphine University.
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I sit at the intersection of :hover-text{hover="Learning Theory, RL & Advanced ML 🧠" position="top" text="theoretical research"} and :hover-text{hover="From MLOps to Production 🚀" position="right" text="software engineering"}. Unlike a pure theorist, I build what I model. Unlike a pure developer, I understand the math behind the code.
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I am dedicating my research to :hover-text{hover="Alignment, Robustness & Interpretability 🧭" text="AI Safety"}. I will soon start my Master's Thesis focusing on :hover-text{hover="Adversarial Defenses & Formal Verification 🛡️" text="Cybersecurity"} and :hover-text{hover="Ensuring AI alignment and stability 🤝" text="Safe Deep Learning"}, exploring how to make AI systems mathematically robust and secure.
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To drive this research, I leverage
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:prose-icon[Python]{color="amber" icon="i-logos:python"},
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:prose-icon[PyTorch]{color="orange" icon="i-logos:pytorch-icon"} and
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:prose-icon[R]{color="blue" icon="i-logos:r-lang"} to design architectures, relying on
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:prose-icon[Docker]{color="sky" icon="i-logos:docker-icon"} and
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:prose-icon[Linux]{color="zinc" icon="i-logos:linux-tux"} to ensure reproducibility within my :hover-text{hover="I self-host my own GPU cluster 🔌" text="homelab"}.
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When I'm not deriving generalization bounds or fixing pipelines, I enjoy :hover-text{hover="Former Team Captain 🏉" text="Rugby"} and :hover-text{hover="Exploring the world 🌍" text="Traveling"}.
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---
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## 🛠 Scientific & Technical Arsenal
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My research capabilities rely on a :hover-text{text="dual expertise" hover="The Scientist & The Builder"}: :hover-text{text="advanced mathematical modeling" hover="Stochastic Calculus, Optimization, Probability"} for conception, and :hover-text{text="robust engineering" hover="CI/CD, Docker, Kubernetes"} for execution.
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::home-skills
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## 💼 Research & Engineering Path
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Theoretical knowledge is nothing without concrete application. From :hover-text{text="building distributed systems" hover="High-availability architectures"} to designing :hover-text{text="defensive AI pipelines" hover="Adversarial Robustness"}, my journey reflects a constant shift towards critical challenges.
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::home-timeline-experiences{class="mb-8"}
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## 🎓 Academic Foundation
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Mathematical rigor is the cornerstone of Safe AI. My background in :hover-text{text="Statistics, Probability, and Optimization" hover="The M280 Trinity 📐"} provides the necessary tools to understand and secure modern Deep Learning architectures.
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::home-timeline-education{class="mb-8"}
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---
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## 📊 Live Telemetry
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Research requires discipline and transparency. Here is a real-time overview of my :hover-text{text="current environment" hover="OS, Editor, Activity"} and historical data.
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::home-activity
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::home-stats
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---
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::home-quote
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::home-catch-phrase
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