Viktor Schlegel is a generalist computer scientist and senior research fellow with over a decade of experience building, deploying and evaluating NLP and ML systems across academia and industry. Based in Singapore and affiliated with Imperial College London and the University of Manchester, he leads secure machine learning efforts for personalised healthcare and directs the IN-CYPHER research programme, combining technical supervision with programme management and stakeholder liaison. His work spans LLM fine-tuning, model safety and explainability, and applied digital-health R&D including clinical coding and automated medical documentation. Viktor pairs deep academic credentials (PhD in Computer Science) with hands-on engineering from roles at ASUS, Siemens and startups, and is experienced in teaching and supervising large cohorts of students and researchers. A practical innovator, he has translated research into funded projects and prototypes that bridge computer vision, NLP and healthcare workflow automation.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Manchester
Abitur, Science Branch, Abitur, Science Branch at Wilhelm Diess Gymnasium Pocking
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Universität Passau
Text mining data model with integration of various formats, annotation libraries, bells and whistles.
Contributions:3 reviews, 19 PRs, 43 pushes in 2 years 5 months
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Viktor Schlegel - Honorary Lecturer at Imperial College London