I am a third year PhD student at the National Centre for Text Mining (NaCTeM) at the University of Manchester advised by Prof Sophia Ananiadou.

My broad research goal is to use NLP to improve access to scientific knowledge by automatically extracting information from scientific texts. Specifically, I’m interested in how to properly account for modality (such as negation and uncertainty) when extracting scientific claims. This interest extends into questions regarding knowledge representation and text generation as well.


  • (May 2023) An extension of our work for the n2c2 shared task has been published in the Journal of Biomedical Informatics! Read the paper and check out the code.
  • (July 2022) I attended the LxMLS machine learning summer school in Lisbon, Portugal.
  • (July 2022) NaCTeM participated in the n2c2 2022 challenge on contextualized information extraction, to appear at AMIA 2022. Our code is now publicly available here.
    • (Nov 2022) Our system got third place in the end-to-end NER + Event Detection + Context Classification task!
  • (June 2022) Work with my colleagues at the University of Minnesota on discovering novel dietary supplement interactions from the scientific literature has been published in the Journal of Biomedical Informatics. Read it here.
  • (May 2022) The culmination of my first-year PhD work on disentangled text representation learning has been published in ACL 2022. Check out the paper and code.
  • (July 2021) I helped organize the first workshop on Computational Approaches to Mental Health @ ICML.
  • (October 2020) I have begun my PhD at the University of Manchester and am honored to have won the competetive President’s Doctoral Scholar award.