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Current Position:
PhD Student in the Computational Materials Physics group at the University of Vienna -
Tech Stack:
Python · Streamlit · MongoDB · High-throughput Workflows · Automation -
Projects:
- Surfflow: Automated calculation of surface energies
- PolFlow: Automated polaron modeling
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What Drives Me:
I’m passionate about bringing ideas to life—especially those that automate tedious tasks. I love building tools that make science and engineering smoother, faster, and more fun. -
Hobbies:
When I’m not coding, you’ll find me in the kitchen, perfecting my focaccia and pizza skills. I’m always looking for ways to improve—whether it’s a dough recipe or a line of code.
Recently, I’ve been fascinated by the possibilities of large language models and the creative ways people use them. -
Let’s Connect:
LinkedIn
👋
Working through a Ph.D. in Computational Physics!
- Vienna, Austria
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04:43
(UTC +01:00)
Highlights
- Pro
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tight-binding
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sisl
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Scientific Python toolbox for large scale tight-binding and electronic structure transport calculations (NEGF)
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optimade-python-tools
optimade-python-tools PublicForked from Materials-Consortia/optimade-python-tools
Tools for implementing and consuming OPTIMADE APIs in Python
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