Christina Ertural

Developer and Full Stack Quantum Chemist

Scientific Software Development

Christina Ertural

About Me

Hello, I'm Dr. Christina Ertural, a passionate scientist bridging theoretical chemistry with cutting-edge software development. I am a former PostDoc researcher in materials informatics in the Digital Materials Chemistry group at BAM and former core developer of LOBSTER.

So far, my work focused on developing innovative Python-based workflows powered by MongoDB to automate machine-learned interatomic potential generation, collaborating with the Deringer group from Oxford to discover new low thermal conductivity thermoelectric materials. Furthermore, I specialize in employing automation tools for scientific workflows, combining machine learning with chemical bonding analysis in materials informatics.

I also have several smaller projects using C++, Python and JS/TS for several different applications. Check out my GitHub profile to explore my work, or visit the Parse Patrol demo video on my YouTube channel to have a glimpse into MCP servers and AI agents.

Projects

AutoPLEX

Automated Python-based workflow for machine-learned interatomic potential generation. Using the Materials project frameworks like atomate2 and jobflow as well as the MongoDB database program.

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LOBSTER

A C++ application for chemical bonding analysis from plane waves. Build on boost and Eigen frameworks.

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Parse Patrol

Python-based tool for parsing large quantum chemistry software files with MCP servers and AI agents. You can find a demo video on my YouTube channel.

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OpenGLaDOS

Python-based Discord chatbot. Text-based AI chatbot for various tasks to entertain the users.

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CV

Professional Experience

Researcher in Materials Informatics and Machine Learning

Bundesanstalt für Materialforschung und -prüfung • 2022-2025

Software development of Python-based workflows for automation of machine-learned interatomic potential generation

Research Assistant

RWTH Aachen University • 2017-2022

Leading research projects. Supervision of Bachelor's and Master's students. Lab supervision for undergrad students

Education

Dr. rer. nat. in Chemistry

RWTH Aachen University • 2017-2022

Specialization in Software Development and Chemical Bonding Analysis,

Dissertation Über die elektronische Struktur funktioneller Festkörpermaterialien und ihre Beschreibung mittels lokaler Bindungsindikatoren

(On the electronic structure of solid-state functional materials and their characterization using local bonding indicators)

Supervised by Prof. Dr. Richard Dronskowski

Master of Science in Chemistry

RWTH Aachen University • 2015-2017

Specialization in theoretical and catalytic chemistry

Skills

  • Software Development in C++ and Python
  • Databases: MongoDB
  • Collaborative Open-Source Code Development
  • Machine Learning
  • Materials Informatics
  • Scientific Programming
  • Data Analysis and Visualization
  • Project Management
  • Graphic design with Adobe Illustrator
  • Electronic-Structure Theory
  • Data Science
  • Quantum Chemical Modeling

Contact

Christina Ertural

Berlin, Germany

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