Cristina Almagro-Pérez
Doctoral student @ Harvard-MIT Health Sciences and Technology Department
calmagro@mit.edu
I am a third-year PhD Candidate in the Health Sciences and Technology Department of the Massachusetts Institute of Technology (MIT) and Harvard Medical School supervised by Professor Faisal Mahmood. We also closely collaborate with Professors Andrew Song (MD Anderson), Jonathan Liu (Stanford university), and Sizun Jiang. My current research focuses on 3D multimodal computational pathology and AI for Spatial Transcriptomics analysis.
Previously, I obtained a MSc in the Department of Information Technology and Electrical Engineering at ETH Zurich, and completed the Master Thesis in the Swiss Light Source (SLS) synchrotron, where I worked on AI tools for phase-contrast microCT images co-supervised by Professor Marco Stampanoni and Dr. Goran Lovric. During this time, I was lucky to be supported by La Caixa Spanish Excellence Fellowship. Before that, I completed my BSc in Biomedical Engineering at Universidad Carlos III de Madrid and spent one year at Johns Hopkins University. The Bachelor Thesis was focused on 3D Computational Pathology for analysing the immune microenvironment of pancreatic cancer and I was co-supervised by Professors Arrate Muñoz, Denis Wirtz, and Ashley Kiemen. While completing the BSc, I also graduated as a professional clarinetist.
news
| Jul 19, 2026 | Two preprints on Prototype-based AI triage for 3D pathology SCOPE and Scalable 3D cell-interaction analysis via supercell graphs for prostate cancer risk stratification SCALE3D are now available! |
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| Jun 30, 2026 | Our work VISTACT for virtual histological staining of micro-computed tomography is published in Royal Society Interface! |
| Mar 31, 2026 | Our work on 3D immune microenvironment mapping in pancreatic cancer is published in Cancer Cell Blue! |
| Jan 15, 2026 | A preprint for Spatial Transcriptomics-driven Pathology Foundation Models SEAL is available! |
| Nov 16, 2025 | We received a grant from Yosemite to explore the clinical capabilities of VORTEX, our 3D Spatial Transcriptomics framework. |