Stephanie L. Hyland

Hello! I am a Principal Researcher in Microsoft Research Health Futures based in Cambridge, UK. My research focuses on machine learning for healthcare, which means I think a lot about both machine learning and healthcare. Recently, I have been working on vision-language/multimodal models for radiology, such as the MAIRA-1 and MAIRA-2 models.

I joined Microsoft Research in 2019. Before that, I received a PhD in computational biology and medicine from the Tri-Institutional PhD Program of Cornell University, during which time I was situated at the Memorial Sloan Kettering Cancer Center in NYC, and later ETH Zürich. Before that, I studied theoretical physics at Trinity College Dublin, and mathematics (Part III) at the University of Cambridge.

Some of my other interests include roller derby, board games, and watching the wildlife in my garden.

news

Jan 09, 2025	Semi-annual website redesign complete.

selected publications

Early prediction of circulatory failure in the intensive care unit using machine learning

Stephanie L Hyland, Martin Faltys, Matthias Hüser, Xinrui Lyu, Thomas Gumbsch, Cristóbal Esteban, Christian Bock, Max Horn, Michael Moor, Bastian Rieck, Marc Zimmermann, Dean Bodenham, Karsten Borgwardt, Gunnar Rätsch, and Tobias M. Merz

Nature medicine, 2020

Bib HTML

@article{hyland2020early,
  title = {Early prediction of circulatory failure in the intensive care unit using machine learning},
  author = {Hyland, Stephanie L and Faltys, Martin and H{\"u}ser, Matthias and Lyu, Xinrui and Gumbsch, Thomas and Esteban, Crist{\'o}bal and Bock, Christian and Horn, Max and Moor, Michael and Rieck, Bastian and Zimmermann, Marc and Bodenham, Dean and Borgwardt, Karsten and R{\"a}tsch, Gunnar and Merz, Tobias M.},
  journal = {Nature medicine},
  volume = {26},
  number = {3},
  pages = {364--373},
  year = {2020},
  publisher = {Nature Publishing Group US New York},
}

Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing

Shruthi Bannur^*, Stephanie Hyland^*, Qianchu Liu, Fernando Pérez-García, Maximilian Ilse, Daniel C. Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Wetscherek, Matthew P. Lungren, Aditya Nori, Javier Alvarez-Valle, and Ozan Oktay

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

arXiv Bib Blog Slides

@inproceedings{bannur2023learning,
  title = {Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing},
  author = {Bannur, Shruthi and Hyland, Stephanie and Liu, Qianchu and Pérez-García, Fernando and Ilse, Maximilian and Castro, Daniel C. and Boecking, Benedikt and Sharma, Harshita and Bouzid, Kenza and Thieme, Anja and Schwaighofer, Anton and Wetscherek, Maria and Lungren, Matthew P. and Nori, Aditya and Alvarez-Valle, Javier and Oktay, Ozan},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages = {15016--15027},
  year = {2023},
}

Exploring the Boundaries of GPT-4 in Radiology

Qianchu Liu, Stephanie Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Maria Teodora Wetscherek, Robert Tinn, Harshita Sharma, Fernando Pérez-García, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya V. Nori, Matthew P. Lungren, Ozan Oktay, and Javier Alvarez-Valle

In Conference on Empirical Methods in Natural Language Processing, 2023

arXiv Bib

@inproceedings{liu2023exploring,
  title = {Exploring the Boundaries of GPT-4 in Radiology},
  author = {Liu, Qianchu and Hyland, Stephanie and Bannur, Shruthi and Bouzid, Kenza and Castro, Daniel C. and Wetscherek, Maria Teodora and Tinn, Robert and Sharma, Harshita and Pérez-García, Fernando and Schwaighofer, Anton and Rajpurkar, Pranav and Khanna, Sameer Tajdin and Poon, Hoifung and Usuyama, Naoto and Thieme, Anja and Nori, Aditya V. and Lungren, Matthew P. and Oktay, Ozan and Alvarez-Valle, Javier},
  booktitle = {Conference on Empirical Methods in Natural Language Processing},
  year = {2023},
}

MAIRA-2: Grounded radiology report generation

Shruthi Bannur, Kenza Bouzid, Daniel C Castro, Anton Schwaighofer, Anja Thieme, Sam Bond-Taylor, Maximilian Ilse, Fernando Pérez-Garcı́a, Valentina Salvatelli, Harshita Sharma, Felix Meissen, Mercy Ranjit, Shaury Srivastav, Julia Gong, Noel C.F. Codella, Fabian Falck, Ozan Oktay, Matthew P. Lungren, Maria Teodora Wetscherek, Javier Alvarz-Valle, and Stephanie L. Hyland

arXiv:2406.04449, 2024

arXiv Bib

@article{bannur2024maira,
  title = {MAIRA-2: Grounded radiology report generation},
  author = {Bannur, Shruthi and Bouzid, Kenza and Castro, Daniel C and Schwaighofer, Anton and Thieme, Anja and Bond-Taylor, Sam and Ilse, Maximilian and P{\'e}rez-Garc{\'\i}a, Fernando and Salvatelli, Valentina and Sharma, Harshita and Meissen, Felix and Ranjit, Mercy and Srivastav, Shaury and Gong, Julia and Codella, Noel C.F. and Falck, Fabian and Oktay, Ozan and Lungren, Matthew P. and Wetscherek, Maria Teodora and Alvarz-Valle, Javier and Hyland, Stephanie L.},
  journal = {arXiv:2406.04449},
  year = {2024},
}