Speaker
Description
The goal of my research is to study fundamental particle and interactions with high precision to gain knowledge about the underlying principles. The data for this research is recorded by the Belle II experiment at the electron-positron collider SuperKEKB.
Algorithms and modern technologies, such as machine learning, play a crucial role in optimally using the available data. The ability to implement complex models allows to use them for the generation of increasingly realistic simulations. An interesting research question is if generalized solutions can be found or to what extend problem specific solutions have to be developed.
Please describe your expertise/areas in which you would like to contribute / advise.
Software and algorithm development, application of machine learning technologies
What is your field and role?
University professor in experimental particle physics
What is your expertise in computing and / or software development?
Software project management, software development
In ErUM-Data, what kind of data are you dealing with?
Large samples of statistically independent particle collision events
Please describe areas in which you can contribute to “data handling” teaching.
Collaborative software development
My current most burning research question, I like to find partners for, is:
Development and optimization of algorithms with modern technologies to maximize the physics output extracted from data
Please describe areas in which you would like to improve your knowledge / skills.
Python based data analysis tools
| Your ErUM - Committee is | KET - Komitee für Elementarteilchenphysik |
|---|---|
| Do you consent to the data usage and public abstract data posting in the ErUM-Data Community Information Exchange? | Yes |
