Scholar
Mireia Crispín Ortuzar
Google Scholar ID: TRZzLJgAAAAJ
University of Cambridge
Citations & Impact
Citations
30,722
H-index
70
i10-index
207
Publications
20
Co-authors
0
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published a recent article in Nature (December 2021).
Research Experience
- Led or participated in multiple projects such as using machine learning techniques to predict treatment responses for cancer patients; developing new technologies for integrating different types of cancer data; and engaging in discussions about the development of artificial intelligence and digital health.
Background
- Research interests include predictive modeling, data integration, and policy engagement. Specifically, the team is dedicated to developing machine learning models based on imaging and other types of data to predict how cancer patients will respond to treatment; also working on new technologies to spatially integrate multi-scale cancer data, uncovering heterogeneity patterns.
Miscellany
- Welcomed new members to the team (September 2021); opened applications for two postdoc positions (January 2022).
Co-authors