Sotabase

Career

· ML Researcher, Microsoft Research Cambridge2024–
· Enrichment Student, The Alan Turing Institute2022–2023
· DPhil in Statistical Machine Learning, University of Oxford2019–2024
· Visiting Researcher, Carnegie Mellon University2018–2019
· Research Engineer in Robotics, Imperial College London2018–2019
· MSc in Computer Science, Imperial College London2017–2018
· BSc + MSc in Engineering, Karlsruhe Institute of Technology2012–2017

Publications (24)

Contrastive Representation Learning for Electroencephalogram Classification
ML4H@NeurIPS · 2020
220
cited
Linked electronic health records for research on a nationwide cohort of more than 54 million people in England: data resource
British medical journal · 2021
155
cited
MAIRA-2: Grounded Radiology Report Generation
arXiv.org · 2024
108
cited
COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records
The Lancet Digital Health · 2022
62
cited
Multi-Facet Clustering Variational Autoencoders
Neural Information Processing Systems · 2021
49
cited
ML4H Auditing: From Paper to Practice
ML4H@NeurIPS · 2020
40
cited
Ivy: Templated Deep Learning for Inter-Framework Portability
arXiv.org · 2021
13
cited
Machine Learning for Health (ML4H) 2020: Advancing Healthcare for All
ML4H@NeurIPS · 2020
13
cited
MAIRA at RRG24: A specialised large multimodal model for radiology report generation
Workshop on Biomedical Natural Language Processing · 2024
12
cited
Evaluation of Contrastive Predictive Coding for Histopathology Applications
ML4H@NeurIPS · 2020
11
cited
Parkinsonian Chinese Speech Analysis towards Automatic Classification of Parkinson's Disease
arXiv.org · 2021
10
cited
MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models
ML4H@NeurIPS · 2024
8
cited
3D Photography Based Neural Network Craniosynostosis Triaging System
ML4H@NeurIPS · 2020
5
cited
Machine Learning for Health (ML4H) 2022
ML4H@NeurIPS · 2022
5
cited
Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning
arXiv.org · 2019
4
cited
Appropriate Evaluation of Diagnostic Utility of Machine Learning Algorithm Generated Images
ML4H@NeurIPS · 2020
3
cited
Improved Clinical Abbreviation Expansion via Non-Sense-Based Approaches
ML4H@NeurIPS · 2020
3
cited
Machine Learning for Health ( ML4H ) 2019 : What Makes Machine Learning in Medicine Different?
ML4H@NeurIPS · 2020
2
cited
ML4H Abstract Track 2019
arXiv.org · 2020
1
cited
Quantifying Common Support between Multiple Treatment Groups Using a Contrastive-VAE
ML4H@NeurIPS · 2020
1
cited
Sotabase
Fabian Falck | Researcher Profile | Sotabase | Sotabase