🔭 I've developed a variety of tools that are open source, such as ML4CPV, for analyzing data from collider experiments like the Large Hadron Collider. Within MLHad, I contributed to developing a machine learning-based particle collision simulation and an event reweighting method. These tools enable fast event generation and uncertainty estimation and will be implemented in the general-purpose event generator Pythia.
Outside the physics domain, I have contributed to LLM text-style transfer methods like FASST and Hacking Generative Models to generate out-of-distribution samples towards a new objective.
-
👯 I’m looking to collaborate and work on projects around LLM reasoning, safety, and scalability
-
💻 All of my projects are available at https://adyoussef.github.io/
-
📫 How to reach me youssead@ucmail.uc.edu
-
📄 Know about my experiences hier
-
⚡ Fun fact: I am in the college boxing team and competed in the Regional and National Collegiate Boxing
