Ahmed Youssef

Background

About Ahmed Youssef

Homepage: https://adyoussef.github.io/ I am a Machine Learning Researcher specializing in generative AI and large language models (LLMs) to advance scientific simulations. My work bridges advanced computational techniques with real-world applications, driving state-of-the-art solutions in AI and complex system modeling. My research focuses on simulating particle collisions using generative models (VAEs, normalizing flows) and Message-Passing Graph Neural Networks (MPGNNs), enhancing simulation accuracy and computational efficiency. Beyond scientific applications, I leverage LLMs and Vision-Language Models (VLMs) to: • Enhance multimodal reasoning and model robustness using retrieval-augmented generation (RAG) and representation learning. • Improve model generalization and performance, ensuring transparent and trustworthy AI systems. • Advance state-of-the-art AI techniques for multimodal applications and robust model design. Skills: • Programming Languages/Systems: Python, C++, SQL, Spark, Git, Docker, Linux, Bash scripting • Frameworks & Libraries: PyTorch, TensorFlow, JAX, HuggingFace, NumPy, Pandas, Scikit-Learn, OpenCV • Technologies & Tools: Large-Scale ML Training, LLM Fine-Tuning & Inference, High-Performance Computing (HPC), Parallel & Distributed Systems • Research & Engineering Expertise: Generative AI (VAEs, Normalizing Flows, Diffusion Models), AI Explainability, Model Optimization, Reinforcement Learning • Soft Skills: Research Leadership, Technical Writing, Multilingual (English, German, Arabic)