Experience

IT'IS Foundation

• Switzerland
• Research Services
• 1 - 100 Employee

• DevOps-Spezialist

  • Nov 2021 - Present

  I work as a DevOps / Backend specialist for the non-profit IT'IS foundation on the 'oSPARC – Open Online Simulations for Stimulating Peripheral Activity to Relieve Conditions' project. The oSPARC project is focused on building a freely accessible online platform to simulate peripheral nerve system neuromodulation/stimulation and its impact on organ physiology. I work as a DevOps / Backend specialist for the non-profit IT'IS foundation on the 'oSPARC – Open Online Simulations for Stimulating Peripheral Activity to Relieve Conditions' project. The oSPARC project is focused on building a freely accessible online platform to simulate peripheral nerve system neuromodulation/stimulation and its impact on organ physiology.



primeserves AG

• Germany
• Information Technology & Services
• 1 - 100 Employee

• Deep-Stack Developer

  • Jan 2021 - Nov 2021

  I have built and maintained the backend for the primeserves startup, which aimed at providing employee wellbeing services to small- and medium-sized companies. I have built and maintained the backend for the primeserves startup, which aimed at providing employee wellbeing services to small- and medium-sized companies.



The Julius Maximilians University of Würzburg

• Germany
• Higher Education
• 700 & Above Employee

• PHD

  • Jun 2018 - Nov 2021

  In silico modelling of organic-semiconductor interfaces for finding new and improved bulk-heterojunction organic solar cells (BHJ-OSCs). To this end, very accurate ab initio modelling is used to derive parameters for multiscale modelling of all physical light-induced processes and loss-channels. In silico modelling of organic-semiconductor interfaces for finding new and improved bulk-heterojunction organic solar cells (BHJ-OSCs). To this end, very accurate ab initio modelling is used to derive parameters for multiscale modelling of all physical light-induced processes and loss-channels.



Roche

• Switzerland
• Biotechnology Research
• 700 & Above Employee

• Data Scientist (Internship)

  • Dec 2017 - May 2018

  Internship as a data scientist in Roche's Process Chemistry & Catalysis department at the Basel headquarters. During my stay I devised the ChemPit software tool, giving process chemists deep insights into their synthesis. See Publication Org. Process Res. Dev., 2018, 22 (9), pp 1222–1235. Internship as a data scientist in Roche's Process Chemistry & Catalysis department at the Basel headquarters. During my stay I devised the ChemPit software tool, giving process chemists deep insights into their synthesis. See Publication Org. Process Res. Dev., 2018, 22 (9), pp 1222–1235.



The Julius Maximilians University of Würzburg

• Germany
• Higher Education
• 700 & Above Employee

• Research Assistant

  • Apr 2015 - Dec 2017

  Research in Computational Chemistry: - Rationalizing experimental spectra using computational chemistry - In silico modelling of bioconjugation mechanisms - Development of novel methods for accurate entropy estimation - Implementation of Machine-Learning approaches - Maintenance and administration of High-Performance-Computing-CLuster (HPC) Research in Computational Chemistry: - Rationalizing experimental spectra using computational chemistry - In silico modelling of bioconjugation mechanisms - Development of novel methods for accurate entropy estimation - Implementation of Machine-Learning approaches - Maintenance and administration of High-Performance-Computing-CLuster (HPC)



University of Eastern Finland

• Finland
• Higher Education
• 700 & Above Employee

• Research Project on polymer synthesis with Borealis AG

  • Jan 2016 - May 2016

  Industry-Oriented Research Internship in cooperation with Borealis AG: "Quantitive Structure-Property Relationship investigation of external electron donor compounds in Ziegler-Natta catalysis" [[Confidential Research Report submitted to Borealis AG]] - Quantum-Chemical calculations of external-donor compounds, aiming at finding functional relationships of material properties with 'external donor' chemical compounds. - Statistical Modelling and Prediction using various machine learning based statistical models Show less