Resume
Academic Achievements
- T-SYNTH: A Knowledge-Based Dataset of Synthetic Breast Images, MICCAI Open Data 2025
- S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images, MICCAI 2024 (Oral Presentation)
- Synthetic data in radiological imaging: Current state and future outlook, BJR Artificial Intelligence 2024
- Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses, NeurIPS 2023
- Spatial-frequency channels, shape bias, and adversarial robustness, NeurIPS 2023 (Oral Presentation)
- The stochastic digital human is now enrolling for in silico imaging trials – Methods and tools for generating digital cohorts, Progress in Biomedical Engineering 2023
- Large-Scale Unsupervised Object Discovery, NeurIPS 2021
Research Experience
- Senior Staff Fellow at the Center for Devices and Radiological Health (CDRH) in the FDA; extensive experience in medical imaging and computer vision research.
Background
- A senior staff fellow (research scientist) at the Center for Devices and Radiological Health (CDRH) in the Food and Drug Administration (FDA) in Silver Spring, MD. Interested in problems at the intersection of artificial intelligence (AI), medical imaging, and computer vision. Specifically, her research focuses on synthetic data in medical imaging, regulatory science, and the limitations of medical data in AI.
Miscellany
- Quoted: 'Many small people, in many small places, do many small things, that can alter the face of the world.' - Anonymous