Funding
Grants and fellowships supporting my research.
Beckman Institute Neuro Mini-Grant
Describing the Directions a Brain Model Learns: A Variance-Attribution Metric for Interpretable Neuro-AI
Supports work on interpreting the latent spaces of medical imaging models, applied to neurodegenerative disease.
Summer Undergraduate Research Fellowship (SURF), as research mentor
Encoder Pretraining and Self-Supervised Learning for Radiogenomics Contrastive Learning
Funds a summer of work on encoder pretraining and self-supervised learning for our radiogenomics contrastive learning model.
Awarded to David Jin, the Caltech undergraduate I mentor, for work I proposed and supervise.
Merkin Spark Grant
Efficient and accurate variant detection applied to cancer transcriptomics with varseek
Supports varseek, an alignment-free method for screening sequence variants directly in RNA-seq reads, applied to cancer transcriptomes.
AI West Med Conference Grant
Image Imputation with Conditional Generative Adversarial Networks Captures Clinically Relevant Imaging Features on Computed Tomography
Funded a study of whether conditional GANs, asked to synthesize a missing CT contrast phase, reproduce the imaging features a radiologist would read from the real acquisition.
Research Medical Student Grant
Deep Learning Image Segmentation of Prostate Cancer Bone Metastases
Funded a year of work on automated segmentation of bone metastases in prostate cancer imaging.