BIOGRAPHY

Jan Philip Wahle completed his Master's degree (M.Sc. Computer Science) with a focus on Deep Learning, Data Analytics and Natural Language Processing. He worked two years in Computer Vision for Aptiv PLC, a global player in autonomous driving, focusing on object recognition and visualization of 2D / 3D sensors from camera images and LiDAR point clouds. Afterwards, he continued his work in the Data & Knowledge Engineering group with a focus on speech processing and language models.

RESEARCH INTERESTS

Jan Philip's current research interests lie in the development of sophisticated deep learning systems in the field of natural language processing.

Jan Philip's prime interest lies in the areas of

Deep learning
Natural language processing
Language modeling
Information visualization

SHORT CV

02/2021 – present	Ph.D. Student Chair for Data & Knowledge Engineering, University of Wuppertal
07/2020 – present	Deep Learning Research Engineer Chair for Data & Knowledge Engineering, University of Wuppertal
10/2019 – 07/2020	Student Researcher Chair for Data & Knowledge Engineering, University of Wuppertal
10/2018 – 10/2020	Computer Science (Data Analytics), M. Sc. Chair for Data & Knowledge Engineering, University of Wuppertal
03/2018 – 10/2018	Student Researcher Parallel Hardware and Software Systems, University of Wuppertal
03/2017 – 10/2018	Junior Software Engineer/Student Trainee APTIV PLC Wuppertal, Germany
10/2015 – 10/2018	Information Technology (Information Science), B. Sc. University of Wuppertal

PROJECTS & TEACHING

I am widely open to student projects in the areas of Natural Language Processing (NLP), especially applied to text summarization, semantic analysis, and human trafficking. The slides below are projects on which I work (here you can find them as PDF). Please contact me if you are interested and let's talk!