Manqing Liu

PhD Candidate at Harvard.

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Boston, MA 02116

I am currently a 4th year PhD Candidate at Harvard studying causal machine learning. My research interests include using deep learning models to estimate causal effects, and how causality can be used to improve the reasoning capabilities and safety of multimodal LLMs. I am co-advised by Dr. Andrew Beam and Dr. James Robins. I am also a member of the Causal Lab.

In my free time, I enjoy reading philosophical books (currently on the second volume of The World as Will and Representation by Schopenhauer), and working out (a mix of strength training and Pilates).

news

Oct 22, 2024 Our DAG-aware Transformer for Causal Effect Estimation paper is accepted as a poster at CRL @NeurIPS2024! :sparkles: :smile:

latest posts

selected publications

  1. Doubly Robust Monte Carlo Tree Search
    Manqing Liu, and Andrew L. Beam
    2025
  2. DAG-aware Transformer for Causal Effect Estimation
    Manqing Liu, David R. Bellamy, and Andrew L. Beam
    2024