AI for Science

This page is under development

The intersection of artificial intelligence and experimental physics presents exciting opportunities for advancing our understanding of complex plasma phenomena and optimizing accelerator performance.

Research Interests

Machine Learning for Plasma Diagnostics

• ML-based virtual diagnostics for longitudinal phase space of extrem electron bunches
• Exploration of plasma wakefield structures suitable for positron acceleration

AI-Assisted Experimental Optimization

• Machine learning for accelerator parameter optimization
• Predictive models for plasma wakefield acceleration
• Real-time feedback systems for experimental control

Future Directions

Collaborative Opportunities

• Interdisciplinary partnerships with AI/ML researchers
• Integration of physics-informed neural networks
• Development of AI tools for plasma physics community

Potential Applications

• Autonomous experimental systems
• Predictive maintenance for accelerator facilities
• AI-driven discovery in plasma physics

Publications & Projects

Coming soon…

Contact me if you’re interested in exploring AI applications in experimental plasma physics or accelerator science.