Curriculum vitae
Machine learning scientist and computational biologist based in Boston, Massachusetts.
I develop machine learning methods for complex biomedical data, with interests in multimodal and self-supervised learning, transferable representations, interpretable modeling, therapeutic discovery, and precision medicine.
Core areas
Machine learning · deep learning · computational biology · multimodal representation learning · functional genomics · survival modeling · PyTorch · scientific Python
Dana-Farber Cancer Institute · Boston, MA
Develop AI and machine-learning methods for precision oncology and therapeutic discovery, including multimodal learning for cancer dependency prediction and interpretable modeling for individualized outcome and treatment-effect estimation. Affiliations include Harvard Medical School and the Broad Institute of MIT and Harvard.
Brown University · Providence, RI
Developed deep-learning, simulation, and quantitative-imaging methods for measuring and longitudinally tracking cerebral microvascular structure and function.
International Prevention Research Institute
Brown University
University of Cape Town
University of Cape Town
MANTIS: Methylation profiling and Artificial Neural networks for Time-resolved Individualized Survival predictions · public PyTorch implementation and pretrained workflow
Nature Communications
Frontiers in Neuroscience
This web CV is intentionally concise. A downloadable PDF can be added when the current CV file is available.