About me

I am currently a PhD candidate at the University of Melbourne doing a joint PhD in the fields of Natural Language Processing and Veterinary Epidemiology. My research interests fall within the fields of Natural Language Processing, Clinical Informatics and Machine Learning. I am more specifically interested in exploiting structured and unstructured data to help machines understand the treatments given, the reasons behind them and using this data to help inform Antimicrobial Stewardship Programs in Australia to combat Antibiotic Resistance.

News

  • Our Traitement Automatique des Langues (TAL) paper describes the methods we used for the National NLP Clinical Challenge shared task 3 on clinical concept normalization. In this study, we link entity mentions of clinical concepts in clinical documents to their corresponding standardized medical terminology. We were able to create the highest performing rules based method for the shared task and contrast its performance to using ClinicalBERT for the same task.
  • Grant funding from Australian Research Data Commons for expansion of VetCompass Australia to develop the world’s first platform to gather data from veterinary hospitals and veterinary pathology labs on national scale. A major component of this project is building an infrastructure to enable the NLP models we created to be applied to help researchers around the world.
  • Our Veterinary Record Paper describes the usage of Cefovecin in veterinary practices accross Australia. Cefovecin is a 3rd generation cephlasporin and crtically important antibiotic in terms of antibiotic resistance. We used our previous algorithms to generate the labels for this study and used this study to generate training data for our BioNLP paper.
  • Antimicrobial Prescribing Guidelines made available online for veterinarians in Companion Animal Practice.
  • Our paper for BioNLP @ ACL 2020 paper was published. In this paper we use instance selection and developed VetBERT to minimize the amount of labels required to train a model to classify the reason for an antimicrobial administration.

Selected Papers