Philip Loche
Postdoctoral Researcher at MeinEvent.Stream
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolPhilip Loche is a postdoctoral researcher and physicist based in Munich with a decade of experience applying molecular simulations and machine learning to electrostatics and long-range effects in aqueous soft matter. He combines academic rigor from a PhD in theoretical and mathematical physics with hands-on software engineering, contributing backend and test automation improvements to the widely used MDAnalysis library. At EPFL and TUM he developed tools for atomistic ML representations, while also translating technical skills into product work as co-founder of a live-event streaming startup. He teaches and mentors students, and brings practical lab experience from thin-film solar cell production and vacuum control software. Philip’s profile blends deep simulation expertise with reliable engineering practices and an unusual knack for shipping reproducible research tools into open-source ecosystems.
10 years of coding experience
9 years of employment as a software developer
Phd, Theoretical and Mathematical Physics, Phd, Theoretical and Mathematical Physics at Freie Universität Berlin
German, English, French
Github Skills (5)
mdanalysis10
python10
numpy10
testing10
unit-testing9
Programming languages (9)
Github contributions (5)
MDAnalysis/mdanalysis
Oct 2018 - Jun 2022
MDAnalysis is a Python library to analyze molecular dynamics simulations.
Role in this project:
Backend Developer & Test Automation Engineer
Backend Developer & Test Automation EngineerContributions:130 reviews, 43 commits, 33 PRs in 3 years 8 months
Contributions summary:Philip contributed to the MDAnalysis Python library, focusing on improving the analysis functionalities. They implemented changes to the `align.AlignTraj` and `ChainReader` classes, including deprecation fixes and output limitations. The user also added tests for `ChainReader` and other functionalities, ensuring code quality and reliability. Furthermore, the user fixed NumPy deprecations and addressed issues related to atom groups, including the handling of zero-atom residues and segments, and contributed to documentation.
molecular-dynamics-simulationmolecular-dynamics-simulationspython-librarypythonscience
lab-cosmo/equisolve
Oct 2022 - Mar 2023
A package tasked with taking equistore objects and computing machine learning models using them.
Contributions:52 reviews, 24 commits, 41 PRs in 5 months
pythondata-sciencemachine-learningcomputingmachine-learning-models
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