- Develop foundation models that analyze entire CT studies rather than individual slices.
- Implement vision-language learning to connect visual findings with radiology report text.
- Design models capable of identifying multiple urgent findings simultaneously with clinical safety calibration.
- Execute training and evaluation at large scale.
- Manage models and experiments end-to-end, from conceptualization to clinical deployment.
- Collaborate with ML engineers and fellowship-trained radiologists to ship FDA-cleared products.
Machine LearningPyTorchComputer Vision