Dr Frank Soboczenski
Lecturer

Interests

I am primarily interested in Transformers / Large Language Models, Machine Learning (Uncertainty Quantification & Explainability, and advanced applications of Quantum Machine Learning mainly but not limited to the domains of Healthcare/Biomedicine and Space Research.

I hold an affiliate scientist position at King's College London supported by the NVIDIA GPU Grant Program.

Additional external information:

Personal Webpage
Google Scholar
Huggingface Profile
NASA/NOAA GLOBE Profile
LinkedIn

Qualifications

PhD in Computer Science (2016)

Latest Work

- New NASA VisionTransformer (LLM) for microscopy data
- Low-thrust rendezvous trajectory generation for multi-target space debris removal

Prizes & Awards

NASA TechLeap Prize - Quantum Machine Learning
NASA/NOAA/ U.S. Department of State Outstanding Efforts to Mentor and Support Students, 2019-now
NASA Frontier Development Lab AI Research Award of Merit, Data Samaritan Award, Steely Eyed Operator Award
NASA Kennedy Space Center OsirisREx launch invitation SpaceApps
3M Thesis Competition UK National Winner (2013)
Deggendorf Institute of Technology Robotics Challenge Award

Memberships:

NASA Nancy Grace Roman Spacecraft Science Working Group Member
NASA GeneLab Analysis Workig Group on AI/ML
NASA Technosignatures research group
NASA/NOAA GLOBE Program
TechnoClimes Technosignatures working group
IBM Quantum Researchers Program
PolarAI Research Group of the ACM
Huggingface BigScience Team
International Astronomical Union (IAU)
Confederation of Laboratories for Artificial Intelligence Research Europe (CLAIRE)
European Commission Focus Group on Artificial Intelligence for SME
Tech Against Terrorism Initiative (Google, Facebook)
Air & Space Forces Association
National Space Society
The Royal Society of Medicine
The Institute of Physics

Service:

(Program or Organising Committee Member)

Conference on Neural Information Processing NeurIPS (2019-now)
Association for the Advancement of Artificial Intelligence AAAI (2019-now)
Machine Learning for Global Health workshop at ICML (2020-2022)
NASA Goddard Space Flight Center (exoplanets) & R OpenScience (2021)
ML4PS: Machine Learning and the Physical Sciences Workshop at NeurIPS (2019-2022)
ML4HL: Machine Learning for Health Workshop at NeurIPS (2019/2020)
ACM Conference on Health, Inference, and Learning CHIL (2020-2022)
IEEE Big Data - Industry & Government Program (2020-2022)
The 57th Annual Meeting of the Association for Computational Linguistics (ACL) (2019)
IEEE Journal of Biomedical and Health Informatics (2019)
American Medical Informatics Association (AMIA) (2019)

Departmental and University Roles

• Academic Ambassadors for UG Student Recruitment & Outreach
• Science and Technology Studies Unit (SATSU) Board