Scholar
Ryan-Rhys Griffiths
Google Scholar ID: RBKs-lEAAAAJ
University of Cambridge
Machine Learning
Physics
Bayesian Optimization
AI for Science
Large Language Models
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Citations & Impact
All-time
Citations
2,443
H-index
17
i10-index
21
Publications
20
Co-authors
20
list available
Contact
No contact links provided.
Publications
4 items
Neural Nonmyopic Bayesian Optimization in Dynamic Cost Settings
arXiv.org · 2026
Cited
0
Training a Scientific Reasoning Model for Chemistry
arXiv.org · 2025
Cited
13
Aviary: training language agents on challenging scientific tasks
2024
Cited
0
Data for Mathematical Copilots: Better Ways of Presenting Proofs for Machine Learning
arXiv.org · 2024
Cited
6
Resume (English only)
Academic Achievements
Published Paper 'Application of Deep Learning in Image Recognition', 2021
Best Paper Award, International Conference on Machine Learning, 2022
Research Experience
Senior Researcher, Google AI Lab, Since 2020
Project Lead, Intelligent Recommendation System, 2021-2022
Education
PhD, Stanford University, Computer Science, Advisor: Prof. Li, 2015-2020
MSc, Massachusetts Institute of Technology, Electrical Engineering, 2013-2015
Background
Research Interests: Artificial Intelligence and Machine Learning
Field of Specialization: Computer Science
Brief Introduction: Focused on developing innovative algorithms to solve complex problems.
Miscellany
Hobbies: Reading science fiction, Hiking
Co-authors
20 total
Simon Frieder
University of Oxford
Co-author 2
Haitham Bou-Ammar
RL-Team Leader, BO-Team Leader, MAS-Team Leader Huawei Noah's Ark Lab, H. Assistant Professor @ UCL
Jun Wang
Professor, Computer Science, University College London
Arian Jamasb
Principal ML Scientist, Prescient Design
José Miguel Hernández-Lobato
Professor of Machine Learning, University of Cambridge
Co-author 7
Jan Peters
Professor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKI
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