curriculum vitae

Ruhr University Bochum - Dr.-Ing. (Ph.D.) in Electrical Engineering and Information Technology

• Advised by Prof. Dorothea Kolossa
• Thesis: "Cognitive Models for Acoustic and Audiovisual Sound Source Localization", co-advised by Prof. Dorothea Kolossa and Prof. Boaz Rafaely

Ruhr University Bochum - Dipl.-Ing. (M.Sc. equivalent) in Electrical Engineering and Information Technology

• Major in Automation and Control Engineering advised by Prof. Jan Lunze
• Thesis: "Automatic Speech Recognition for Embedded Systems", co-advised by Prof. Michael Hübner and Prof. Dorothea Kolossa

Data Scientist at Bayer Crop Science

• Analytics and Pipeline Design Group at Bayer Crop Science, Monheim, Germany
• Conducting data science projects in the domain of field trial analytics

Data Scientist at Evonik Industries AG

• Cognitive solutions team in Evonik Digital GmbH , Essen, Germany
• Supported digitalization initiatives with focus on machine learning technologies

Postdoctoral Researcher at Ruhr University Bochum

• Cognitive Signal Processing Group in Ruhr University Bochum, Bochum, Germany
• Conducted a research project in collaboration with NTT Communication Science Labs, focusing on machine learning for audio-visual signal processing applications

Doctoral Researcher at Ruhr University Bochum

• Cognitive Signal Processing Group in Ruhr University Bochum, Bochum, Germany
• Fundamental machine learning research in the areas of audio-visual signal processing, causal modeling and robotics

Visiting Researcher

• Speech & Audio Research Team at NTT Communication Science Labs, Kyoto, Japan, advised by Dr. Nobutaka Ito
• We proposed a method for unsupervised joint speaker separation and denoising using complex Gaussian mixture models. Published at EUSPICO 2018.

Research & Development Internship

• Advanced Development Team at Vorwerk Elektrowerke GmbH & Co. KG, Wuppertal, Germany
• Undisclosed machine learning projects for Vorwerks kitchen appliances.

Student Research Assistant

• Institute of Automation and Computer Control at Ruhr University Bochum, Germany, advised by Dr. Christian Stöcker
• Development of a benchmark process for evaluating control algorithms within a thermofluid process plant.

• 1st place on subtask 2 ("Engaging Comment Classification") at the GermEval 2021 Shared Task on the identification of Toxic, Engaging and Fact-Claiming Comments as part of the KONVENS conference on natural language processing in Düsseldorf, Germany (2021). Collaborative work of the Data Science Kitchen.

• Best student paper award at the 14th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA) in Guildford, UK (2018). Collaborative work with Boaz Rafaely and his group at Ben-Gurion University of the Negev.

Course Coordinator for Master-Seminar Speech and Pattern Recognition

• Graduate-level fully virtual 143163 Mas­ter Se­mi­nar Speech and Pat­tern Re­co­gni­ti­on at Ruhr University Bochum
• Course coordination, topic selection and preparation, as well as supervision and guidance of the participants

Teaching Assistant for Fundamentals of Automatic Speech Recognition

• Graduate level class 141044 Fundamentals of Automatic Speech Recognition at Ruhr University Bochum, taught by Prof. Dorothea Kolossa
• Responsibility for programming excercises and examination.

Course Coordinator and Co-Lecturer for Master-Project Pattern Recognition

• Initiated and organized a practical machine learning course for gradiate students 142041 Master-Project Pattern Recognition at Ruhr University Bochum
• Supervision and guidance for participating students through an exemplary data science project based on Kaggle competitions.

Teaching Assistant for Digital Signal Processing

• Graduate level introduction to digital signal processing class 141042 Digital Signal Processing at Ruhr University Bochum, taught by Prof. Dorothea Kolossa
• Responsibility for tutorial sessions, programming excercises and examination.

• Co-founder of the non-profit group Data Science Kitchen.

• Affiliate member of the Machine Learning for Signal Processing Technical Committee within the IEEE Signal Processing Society.

• Reviewer for WASPAA (2019), EUSIPCO (2019, 2020), IJCNN (2020), DSLW (2021), ICASSP (2021).

• Member of the Research School review committee for funding doctoral research projects at Ruhr University Bochum.

• Member of the Institute of Electrical and Electronics Engineers (IEEE) and the IEEE Signal Processing Society.