Alissa Valentine
Hi! I’m Alissa (she/they), a researcher studying mental health with the help of computational tools like LLMs and machine learning. Here you can find my projects, CV, and ways to get in touch.
Projects
- Trustworthy AI for Depression Prediction – The mental health system in Europe faces challenges, with extensive waiting times for diagnostic psychiatric appointments, and in Denmark, a national average waiting time of 92 weeks to see a specialist. We aim to develop AI algorithms for mental health screening, specifically targeting Major Depressive Disorder (MDD), which affects up to 6.9% of the European population. The algorithms will help to reduce the waiting time for diagnosis and improve the overall efficiency of the mental health system. The research project is based on a collaboration between three senior scientists from different disciplines — neuroscience, AI as well as medicine — as well as two collaborators from the field of ethics.
- Determining the Diagnostic Disparities of Schizophrenia in the Mount Sinai Health System, a Large Diverse Health System in NYC – The aim of this work is to characterize the diagnostic disparities within schizophrenia (SCZ) in a diverse set of patients using EHR from MSHS. In these analyses, we aimed to explore how measures of clinician bias and intersectional patient sociodemographic variables impact diagnosis.
- The Point of View of a Sentiment: Towards Clinician Bias Detection in Clinical Notes – The aim of this work is to leverage large language models (LLMs) to characterize harmful language usage in psychiatry by identifying the sentiment expressed in sentences describing psychiatric patients based on the reader’s point of view (physician or non-physician).