I am a Senior ML Researcher and Engineer at PathAI in Boston, with a focus on self-supervised learning, data efficient methods, robustness to distribution shifts and real-world applications of ML in healthcare. Some examples of past work -
- Novel ML methods research -
- Domain generalization - ContriMix (Best official submission in Camelyon17 Stanford WILDS leaderboard)
- Label Imbalance - Supervised Contrastive MIL (WACV 2024)
- Interpretability - Additive Multiple Instance Learning (NeurIPS 2022)
- Application of ML to medical imaging -
- ML Evaluation - Rethinking ML model evaluation in pathology (ICLR ML Evaluation Standards Workshop 2022)
- ML to predict clinically significant portal hypertension in NASH cirrhosis - Journal of Hepatology
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