Daniel Anadria MSc

Methoden en Statistiek

NLP systems could help deliver expert-level personalized, predictive and preventive care at an unprecedented scale. This promise is contingent on NLP systems being deemed safe for clinical applications. My work centers around safety and fairness auditing of clinical NLP systems. I'm interested in both technical solutions to fairness (i.e. statistical fairness metrics and harm mitigation methodologies), as well as overcoming the socio-technical challenges of safe NLP system implementation and deployment.