Principal Investigator
Olivier Gevaert
Associate Professor of Medicine and Biomedical Data Science
Dr. Olivier Gevaert is an associate professor at Stanford University focusing on machine-learning methods for biomedical decision support from multi-scale data. He trained as an electrical engineer with additional expertise in artificial intelligence, and holds a PhD in bioinformatics from the University of Leuven, Belgium. He completed his postdoc in radiology at Stanford before establishing his lab in the Department of Medicine.
Affiliated faculty at IBIIS. Member of BioX, Stanford Cancer Institute, Cardiovascular Institute, Wu Tsai Neurosciences Institute, and MCHRI.
Research Staff
Fusion of biomedical data modalities; combining modeling techniques toward a medical digital twin.
Multi-modal data fusion for complex diseases. MSc bioinformatics (NYU), MSc data science (Columbia).
Machine learning for tabular, image, text, and time series data to optimize patient outcomes.
Postdoctoral Scholars
Integrating histology and genomic data for brain cancer; epigenomic workflows for precision oncology. PhD, Texas A&M.
Quantitative imaging of complex diseases. PhD in quantitative imaging, Nanjing University.
Machine learning for brain cancer. PhD in Medicine, University of New South Wales, 2022.
Deep learning for digital pathology in cancer research. PhD, Ghent University.
Graduate Students & Visitors
Computational modeling of traumatic brain injury with machine learning. Co-advised with Prof. Camarillo.
PhD student (Ghent University); foundation models and deep learning for medical imaging — 3D vision, vision-language models, and multimodal fusion across imaging, clinical, and genomic data.
Collaborators
Assistant Professor, Harvard University & Broad Institute.
Assistant Professor of Electrical and Computer Engineering.
Director of Computational Genomics, IGB, University of Illinois.
Assistant Professor at EPFL, Lausanne.
Alumni — Postdocs & Staff
Now Staff Scientist at NIH. LungNet cover paper, Nature Machine Intelligence 2020.
Now Co-founder & CSO at H42. PhD, Ghent University.
Now postdoc in Stanford Surgery. PhD bioinformatics, Boston University 2020.
Now Quantitative Scientist at Verana Health. NLP for patient phenotyping.
Now Principal Bioinformatician at Cancer Research UK Manchester Institute.
Multi-omics fusion and generative models. PhD, University of Granada.
Radiation Oncologist from Charité Berlin; ML models for radiation treatment plan evaluation.
Alumni — Graduate Students
Meta-learning for genomic survival analysis, Nature Communications 2020.
MD candidate at Stanford. ML for neurological medicine.
Statistical analysis of DNA methylation; MethylMix extensions. Now pursuing PhD in Buenos Aires.