Investigator
Assistant Professor · Harvard University, Harvard Medical School
Ovarian cancer mutational processes drive site-specific immune evasion
High-grade serous ovarian cancer is a genomically complex malignancy. Here the authors integrate whole-genome sequencing, single-cell RNA sequencing, digital histopathology and multiplexed immunofluorescence across 160 tumour sites from 42 patients, revealing that mutational processes shape site-specific immune evasion.
Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer
Integration of genomic, histopathology, radiomics and clinical data using machine learning improves risk stratification for 444 patients with high-grade serous ovarian cancer.
Assistant Professor
Harvard University · Harvard Medical School
Associate Member
Broad Institute of MIT and Harvard
Assistant Investigator
Massachusetts General Hospital
Research Fellow
Memorial Sloan Kettering Cancer Center · Computational Oncology, Department of Epidemiology and Biostatistics
Wellcome Sanger Institute
University of Cambridge · Department of Applied Mathematics and Theoretical Physics
Imperial College London · Department of Physics
US
Researcher Id: I-8814-2019
