Publications

In reverse chronological order. An up-to-date list with citation counts is on Google Scholar.

2026

  1. Cached Summary Embeddings for Memory-Efficient EHR Inference

    Conference on Health, Inference, and Learning (CHIL) 2026 · earlier version at the ICLR 2026 Workshop on Time Series in the Age of Large Models

  2. DataAtlas: Automatic Generation of Data Dictionaries Using Large Language Models

    JAMIA Open, 9(3), 2026

  3. Croissant Baker: Metadata Generation for Discoverable, Governable, and Reusable ML Datasets

    arXiv preprint, 2026

2025

  1. Coefficient of Variation Masking: A Volatility-Aware Strategy for EHR Foundation Models

    Machine Learning for Health (ML4H) 2025, Proceedings · NeurIPS 2025 Time Series for Health (TS4H) Workshop

    First author
  2. Rethinking Tokenization for Clinical Time Series: When Less is More

    Machine Learning for Health (ML4H) 2025, Findings

    Joint first author
  3. M3: Conversational LLMs Simplify Secure Clinical Data Access

    Machine Learning for Health (ML4H) 2025, Demo

    Joint first author

2024

  1. Towards Optimizing and Evaluating a RAG QA Chatbot Using LLMs with Human in the Loop

    NAACL @ DASH 2024

    Best paper award