Scholar
Claudio Fanconi
Google Scholar ID: Uko0QY4AAAAJ
University of Cambridge
Citations & Impact
Citations
314
H-index
6
i10-index
6
Publications
14
Co-authors
20
list available
Publications
Resume (English only)
Academic Achievements
- October 2025: New preprint on operationalising adversarial inverse reinforcement learning; September 2025: First-author paper accepted at NeurIPS 2025; June 2025: Co-first-author paper accepted at ICML 2025 Workshop on AI Alignment; September 2024: Co-first-author paper accepted at NeurIPS 2024; July 2024: Published in JAMIA; April 2024: Started Ph.D. in Machine Learning at the University of Cambridge; September 2023: Co-first-author paper accepted at EMNLP 2023; June 2023: First-author paper published in The Lancet eBioMedicine; March 2023: Joined Sony AI as a junior research scientist (internship); February 2023: Published in Journal of Nephrology; October 2022: Graduated with an MSc from ETH Zürich; June 2021: Co-first-author paper accepted at an ICML 2021 Workshop.
Research Experience
- Worked as a junior research scientist (internship) at Sony AI, focusing on computer vision algorithms for robotic perception systems.
Education
- Ph.D. Student in Machine Learning at the University of Cambridge, advised by Mihaela van der Schaar; Master's degree from ETH Zürich in Information Technology and Electrical Engineering with a focus on Machine Learning, supervised by Tina Hernandez-Boussard at Stanford University for his Master's thesis.
Background
- Research Interests: Application of ML in high-stakes environments, using ML to enhance human decision-making, alignment and reasoning of large language models (LLMs). Professional Field: Machine Learning, AI for Medicine.
Miscellany
- Please check out the Fanconi Cancer Foundation and their initiatives against Fanconi Anemia.
