Inferring Neuropsychiatric Conditions from Language - How Specific are Transformers and Traditional ML Pipelines?

Dec 1, 2022 15:00 — 17:00
Click on the Slides button above to view the built-in slides feature.

Invited talk at the Harvard-MIT Speech and Language Biomarker Interest Group on work related to my master’s thesis on a multi-class approach to inferring neuropsychiatric conditions from voice (preprint out Jan 2023). Joint work with Roberta Rocca and Riccardo Fusaroli and jointly presented with Roberta Rocca.

Lasse Hansen
Lasse Hansen
PhD Student in Machine Learning for Healthcare

I am PhD student at the Department of Clinical Medicine at Aarhus University. I study how to use natural language processing and machine learning to improve patient outcomes in psychiatry. I am broadly interested in applying machine learning to solve real world problems, and in advancing open-source software.