⦿ Appointed deputy group head due to my success in guiding and mentoring PhD students, in fostering a collaborative, productive and enjoyable work environment, and due to my technical expertise and my reliability, consistently meeting deadlines and fulfilling commitments.⦿ Supervision of a research project in which our team integrated machine learning techniques into material simulations, enhancing their predictive capabilities.

⦿ Industry collaborations and stakeholder engagement⦿ Demonstrated expertise in Python programming, model development and project management through industry-focused projects ⦿ Collaborated with stakeholders from business and innovation development, engineering, and manufacturing teams to define work packages and facilitate quarterly meetings.⦿ Developed and documented models for understanding manufacturing processes and defended them in front of stakeholders, which led to establishment of internal simulation capabilities.⦿ Developing algorithms for securing data integrity based on quantum-mechanical working principles⦿ Patent: "Verfahren zur Bestimmung einer Polymermodifikation mit einer gewünschten physikalischen Materialeigenschaft."

PhD thesis: "Exploring molecular-scale structure formation of Hybrid Inorganic/Organic Systems by all-atom molecular dynamics computer simulations"⦿ Self-dependent completion of a scientific research project ⦿ Creating regular written reports and oral presentations⦿ Programming in Bash, C++, Fortran, Matlab and Python⦿ Development of specialized algorithms for processing and analyzing simulation data

Physics Diploma-thesis: "Analysis of photochemical reaction pathways in Earth-like planetary atmospheres"⦿ Predicting the chemical composition of atmospheres of Earth-like exoplanets.⦿ Analysis of chemical reaction networks through path analysis and parameter studies to characterize chemical reactions in atmospheres.⦿ Implementation of the analyses in a numerical atmosphere model (Fortran).