Raphael Schumann
PhD Candidate
Heidelberg, Baden-Württemberg, Germany
Summary
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Senior🎓
Top SchoolRaphael Schumann is a PhD candidate in Computational Linguistics at Heidelberg University with 11 years of experience applying ML and NLP to real-world problems across industry and academia. He has interned and researched at leading organizations including Google DeepMind, Amazon AWS (conversational AI), Nuance, Bosch, IBM, and HITS, focusing on spoken language understanding and healthcare NLP. Raphael combines deep research training with product-minded experimentation, moving models from prototype to applied settings in voice and conversational systems. He spent time as a visiting graduate student at the University of Waterloo, reflecting international collaboration in his research. Notably, his background spans both fundamental computation linguistics and production-oriented machine learning for verification and virtual assistants, giving him a rare cross-section of theory and engineering. Based in Heidelberg, he publishes and maintains an online research portfolio at schumann.pub.
11 years of coding experience
2 years of employment as a software developer
PhD Candidate Computational Linguistics, PhD Candidate Computational Linguistics at Heidelberg UniversityVisiting Graduate Student, Visiting Graduate Student at University of Waterloo
English, German
Github Skills (99)
python10
google-analytics10
deep-learning10
tensorflow10
machine-learning10
ml9
autoencoder9
charts9
statistics9
neural-network9
phonetics9
neural-machine-translation9
extraction9
sqlalchemy9
deep-neural-networks9
Programming languages (10)
Github contributions (5)
raphael-sch/SumVAE
Mar 2018 - Apr 2022
Contributions:3 commits, 2 pushes, 1 branch in 4 years
raphael-sch/HC_Sentence_Summarization
Apr 2020 - Jun 2022
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction
Contributions:1 release, 14 commits, 3 PRs in 2 years 2 months
extractionword-embeddingsphoneticsreductionword2vec
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