Projects and References
In my Master's thesis "Identifying Failures in Machine Learning Simulations" I used Machine Learning techniques to fit high dimensional Potential Energy Surfaces to create so-called Machine Learning Potentials and investigated where they can go wrong. MDSuite is a python software package that I contributed to. It provides post-processing calculations for Molecular Dynamics simulations and helps the user to analyze the system. It is available on GitHub. The project "Dipole Visualization" shows the electric field of a dipole. It was created using glowscript (a JavaScript framework) during my exchange year to help students understand electricity. "Field visualization" is a similar project that aims to display how charges move through magnetic and electric fields.
About
I am a computational physicist from Stuttgart. The picture above shows Feuersee a central place in Stuttgart. I am interested in Software Development, Physics and Machine Learning.
Computational Physicist
- Birthday: 21 January 1997
- Email: marco.brueckner97@web.de
- Degree: Master of Science
- City: Stuttgart, Germany
I knew a year before I graduated from high school that I wanted to study physics due to the exceptional interest I had for the investigation of natural phenomenons. During my studies, I realized that I really liked the practicality of computers and decided to specialize in the field of simulation methods and computational physics. In my free time I like to do sports especially combat sports, read and hang out with friends.
Resume
Education
Master of Science in Physics
2019 - 2022
University of Stuttgart
Bachelor of Science in Physics
2015 - 2019
University of Stuttgart
Graduation from High School
2015
Gymnasium Korntal-Münchingen
Other Experiences
Master's Thesis
12/2020 - 12/2021
University of Stuttgart
Exchange Year
08/2017 - 05/2018
Carson, California, USA
Professional Experience
Student Assistant
12/2020 - 03/2022
University of Stuttgart
- Integrating the publications of the Institute for Computational Physics into the new PUMA system of the University of Stuttgart.
- Keeping the list of publications on the Institute website up to date.
- Technologies used: Git and Latex.
Teaching: Computer Basics
10/2019 - 03/2020
University of Stuttgart
- Teaching students computer basics at the university like Linux, Latex and Python.
- Helping the students when they have problems.
- Explaining the solutions of the excercies to students.
Working as a Waiter
07/2018 - 07/2019
Yuman
- Working as a waiter for catering companies and in arenas.
Various jobs
2015 - 2018 (discontinuous)
- Other short time jobs like working as a band worker for Daimler and NPR of Europe GmbH.
Advanced Skills
Technologies that I used a lot with several years of experience during my work and education. Python is the skill that I invested the most time in. I have used it to solve physics problems, conduct simulations, solve differential equations, for data visualization, for file conversion and automation of tasks. Additionally, I have also used it to work in a group on joint software projects. I use Ubuntu at work and on my private machines because of bash and high degree of customization. Latex was used to write many lab reports, my Bachelor's and Master's thesis. Lammps is a software package for Molecular Dynamics, that I used in my Master's thesis to run classical and Machine Learning simulations.
Basic Skills
Technologies that I have used a bit and have a basic understanding of: Gimp, HTML, CSS, Matlab.