About
Philipp Jung is a researcher affiliated with the Calgo Lab and the TU Berlin's Data Science +X Graduate School. He holds a physics degree from TU Berlin and an industrial engineering background from BHT Berlin. His work focuses on applied machine learning for data cleaning, with interdisciplinary research in AI-driven healthcare, industrial processes, biodiversity, and human-computer interaction.
Key Research Projects:
- APPL-FM (DFG): AI in health and cell biology
- KIP-SDM (BMBF): Data science in medical applications
- HUMAN.VR.LAB (BMBF): VR interface development
- GCA (BMUV): Green AI for biodiversity
He collaborates with tech startups like QualiFiction and contributes to initiatives like the Berlin Big Data Center. His work is funded by DFG, BMBF, and EU programs.
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