Christina Ertural

Full Stack Quantum Chemist and Developer

Science, Research, and Innovation

Christina Ertural

About Me

Welcome to my portfolio. I am Dr. Christina Ertural, MRSC (member of the Royal Society of Chemistry), a full-stack quantum chemist specializing in chemical bonding analysis and materials informatics.

Passionate about scientific research and innovation, I work on machine learned interatomic potentials with the goal of accelerating theoretical and quantum chemistry simulations like never seen before.

My approach combines scientific rigor and creativity to solve complex problems and contribute to the advancement of knowledge in my field.

CV

Professional Experience

Researcher in Materials Informatics and Machine Learning

Bundesanstalt für Materialforschung und -prüfung • 2022-Present

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
  • Quantum Chemical Bonding Analysis
  • Molecular and Solid-State Modeling
  • Machine Learning
  • Materials Informatics
  • Scientific Programming
  • Data Analysis and Visualization
  • Project Management
  • Graphic design with Adobe Illustrator
  • Collaborative Open-Source Code Development
  • Electronic-Structure Theory
  • Data Science

Projects

autoplex

Automated workflow for machine-learned interatomic potential generation.

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LOBSTER

Chemical Bonding Analysis from Plane Waves.

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OpenGLaDOS

Discord chatbot.

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Contact

Email: Christina Ertural

Phone: +49 no phone available

Location: Berlin, Germany

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