Selected work. Full publication list can be found on Google Scholar

• Predicting perturbation targets with causal differential networks. Menghua Wu, Umesh Padia, Sean H. Murphy, Regina Barzilay, Tommi Jaakkola. Preprint.
  [paper]
• Contextualizing biological perturbation experiments through language. Menghua Wu, Russell Littman, Jacob Levine, Lin Qiu, Tommaso Biancalani, David Richmond, Jan-Christian Huetter. FM4Science Workshop at NeurIPS 2024 (Poster).
  
• Sample, estimate, aggregate: A recipe for causal discovery foundation models. Menghua Wu, Yujia Bao, Regina Barzilay, Tommi S. Jaakkola. Preprint.
  [paper] [code]
• PROflow: An iterative refinement model for PROTAC-induced structure prediction. Bo Qiang, Wenxian Shi, Yuxuan Song, Menghua Wu. GEM Workshop at ICLR 2024 (Oral).
  [paper]
• Few-shot Text Classification with Distributional Signatures. Yujia Bao*, Menghua Wu*, Shiyu Chang, Regina Barzilay. International Conference on Learning Representations 2020 (Poster).
  [paper] [code]
• Characteristics of drug combination therapy in oncology by analyzing clinical trial data on ClinicalTrials.gov. Menghua Wu*, Marina Sirota, Atul J Butte, Bin Chen. Proceedings of the 2015 Pacific Symposium on Biocomputing (Oral).
  [paper]