Scholar
Frank Soboczenski
Google Scholar ID: Nl3EwroAAAAJ
Assistant Professor, University of York & Affiliate King's College London
Citations & Impact
Citations
733
H-index
13
i10-index
16
Publications
20
Co-authors
37
list available
Publications
Resume (English only)
Academic Achievements
- Latest on Arxiv: Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization; Latest on Github: Finding randomized trials in health research databases: evaluation of transformer models; Upcoming Talk: NVIDIA GTC 2021 - FDL Projects with NASA.
Research Experience
- Currently a Computer Scientist at King's College London and an AI researcher at the Frontier Development Lab (NASA Partner) since 2018. Supported the Astronaut Health and Lunar Resource Mapping: Data Fusion and Super Resolution teams as AI/ML mentor during the 2019 edition of FDL.
Education
- Graduated from Deggendorf Institute of Technology in cooperation with the German Research Center for Artificial Intelligence. Awarded a PhD for work on reducing transcription errors (numerical and textual) of medical devices under the advisement of Prof. Paul Cairns and Prof. Richard Paige at the University of York.
Background
- A Computer Scientist at King's College London and a STEM scientist for NASA’s & NOAA’s GLOBE program. Current research focuses on Deep-Learning and Natural-Language Processing (healthcare domain) in the form of the RobotReviewer project. Previously worked in areas such as Human-Computer Interaction, Cyber-Security, and Real-Time Systems in cooperation with the German Police Force, GCHQ, Rapita Systems, INRIA, Barcelona Supercomputing Center, and Airbus. Served as a lead organizer of NASA Space Apps challenges and worked on AI projects with the National Space Society as well as law enforcement entities.
Miscellany
- Known R Ninja, currently organizing the R User Group at King’s College. Research supported by NVIDIA Corporation.
