🎓 I'm a Physics MSc student at ETH Zürich. I also work with the Future Circular Collider collaboration at CERN on machine learning-based Particle Flow.
I'm interested in applications of deep learning in particle physics: Firstly, can we improve our algorithms for data analysis to make better use of the existing experimental data? Secondly, can we design algorithms that would enable us to optimize future detectors to better target areas left unexplored by the existing detectors?