Frank Soboczenski
Assistant Professor at King's College London
United Kingdom
Summary
👤
Senior🎓
Top SchoolFrank Soboczenski is an Assistant Professor of Computer Science (AI/ML) at the University of York with nine years of research and applied experience bridging deep learning, NLP, and quantum machine learning across academia, government and space agencies. He leads the RobotReviewer project on automated bias assessment for clinical trials using transformer-based models and explainable NLP, while also contributing to experimental quantum-NLP work and ensemble approaches. Frank has held research roles at King's College London and Northeastern, advises the European Commission on AI policy, and serves as a STEM scientist for NASA/NOAA initiatives and a NASA TechLeap Prize winner. His background spans intelligence analysis and cybersecurity to space robotics challenges, giving him a rare mix of domain-driven ML expertise and operational experience in high-stakes environments.
9 years of coding experience
3 years of employment as a software developer
Diplom, Computer Science and Business Studies, Diplom, Computer Science and Business Studies at Deggendorf Institute of TechnologyDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of York - Computer Science
German, English, Chinese
Github Skills (31)
trial10
nlp10
image-processing9
clinical-trials9
pytorch9
python9
machine-learning9
natural-language-processing9
tensorflow9
deep-learning9
speech-recognition9
transformer9
computer-vision9
language-model8
opencv8
Programming languages (7)
Github contributions (5)
h21k/ML_Interpretability
Jan 2020 - Jun 2022
All things ML model interpretability
Contributions:24 PRs, 37 pushes, 2 branches in 2 years 5 months
deep-learningmodel-interpretabilitymachine-learninginterpretability
h21k/ImpactAI
Jan 2019 - Mar 2019
Contributions:13 commits, 12 pushes, 1 branch in 1 month
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