Paul Hager is a multimodal AI researcher and research engineer based in Munich with over a decade of experience spanning industry and academia, focused on applying computer vision, NLP and tabular deep learning to healthcare diagnostics. Currently pursuing a PhD at TUM while working in the Virdx team, he aims to make non-invasive imaging the definitive source of biological truth for disease diagnosis, combining genetics, imaging and EHR data for clinically impactful models. His work has led to top-tier publications including CVPR and Nature Medicine, and he has practical engineering experience building production-ready tools—from deep networks that extract chemical structures from PDFs to visualization and sequencing pipelines. Comfortable moving between hands-on development and rigorous research, he brings a pragmatic bias toward projects with real-world utility and a track record of shipping end-to-end solutions across startups and large organizations.
10 years of coding experience
3 years of employment as a software developer
Bayard Rustin High School
Master of Science - MS Bioinformatik, Master of Science - MS Bioinformatik at Technical University of Munich
Master of Science - MS Bioinformatik, Master of Science - MS Bioinformatik at Ludwig-Maximilians-Universität München
Contributions:27 pushes, 1 branch, 34 comments in 1 year 10 months
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Paul Hager - Research Engineer And Scientist at QuantCo