Lasse Hansen

Lasse Hansen

PhD Student in Machine Learning for Healthcare

Aarhus University

Biography

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, with a particular focus on schizophrenia and bipolar disorder. I am broadly interested in applying machine learning to solve problems in the healthcare sector and improving patient outcomes.

Interests

  • Machine Learning and AI
  • Psychiatric Disorders
  • Effective Altruism

Education

  • PhD student, 2021 - 2024

    Aarhus University

  • Msc in Cognitive Science, 2019 - 2022

    Aarhus University

  • Bachelor Semester Abroad, 2019

    University of Otago

  • BSc in Cognitive Science, 2016 - 2019

    Aarhus University

Skills

Python

R

Statistics

Machine Learning

Natural Language Processing

Acoustic analysis

Recent Publications

A generalizable speech emotion recognition model reveals depression and remission

This paper is the outcome of my internship at Roche. We analysed voice recordings of patients before and after remission from depression, and found that a speech emotion recognition model was able to accurately discriminate contorls from depression, and those in remission from those with depression.
Lasse Hansen, Yan-Ping Zhang, Detlef Wolf, Konstantinos Sechidis, Nicolai Ladegaard, Riccardo Fusaroli
DOI
A generalizable speech emotion recognition model reveals depression and remission

The PSYchiatric clinical outcome prediction (PSYCOP) cohort: leveraging the potential of electronic health records in the treatment of mental disorders

In this paper we present the PSYCOP cohort and present our group’s upcoming studies.
Lasse Hansen, Kenneth C. Enevoldsen, Martin Bernstorff, Kristoffer L. Nielbo, Andreas A. Danielsen, Søren D. Østergaard
DOI
The PSYchiatric clinical outcome prediction (PSYCOP) cohort: leveraging the potential of electronic health records in the treatment of mental disorders

Analysing Political Biases in Danish Newspapers Using Sentiment Analysis

The sentiment score of articles from two Danish newspapers regarding two Danish parties on either side of the political spectrum was analysed and found to significantly differ.
Lasse Hansen(?), Kenneth C. Enevoldsen(?)
PDF
Analysing Political Biases in Danish Newspapers Using Sentiment Analysis

Projects

Danish wav2vec2.0

Currently working on pretraining a large wav2vec2.0 for Danish in collaboration with Alvenir
Danish wav2vec2.0

Danish Foundation Models

Part of the community involved in pretraining a number of Danish language models.
Danish Foundation Models

TextDescriptives

A Python library for quickly and easily calculating a large variety of descriptive statistics from texts using spaCy.
TextDescriptives
See all

Recent Posts

Neural Networks from Scratch (without linear algebra)

This was created as part of TA’ing the Data Science course for Cognitive Science students. It ended up being fairly extensive so I thought I’d share it here as others might find it useful.
Last updated on Apr 27, 2021 15 min read Education
Neural Networks from Scratch (without linear algebra)

Recent & Upcoming Talks

Example Talk

An example talk using Academic’s Markdown slides feature.
Jun 1, 2030 13:00 — 15:00 Source Themes HQ
Slides Follow
Example Talk

Predicting Presence and Severity of Depression from Speech Using Emotional Transfer Learning

A presentation of my internship project at Hoffman-La Roche
Dec 16, 2020 14:00 — 15:00 Hoffman-La Roche
Slides

Experience

 
 
 
 
 

Data Science Intern

Hoffmann-La Roche

Aug 2020 – Dec 2020 Basel, Switzerland
Research internship. Conducted a project on using transfer learning from emotional speech databases to predict the presence and severity of depression from interviews with Danish speakers. Supervised by Yan-Ping Zhang (Roche), Detlef Wolf (Roche), and Riccardo Fusaroli (Aarhus University).
 
 
 
 
 

Junior Developer

Center for Humanities Computing Aarhus (CHCAA)

Jun 2019 – Jan 2021 Aarhus, Denmark
Assisted and provided consultancy for researchers primarily from the humanities in carrying out statistical analyses of their data.
 
 
 
 
 

Study Mentor

Aarhus University, Denmark

Mar 2018 – Dec 2018 Aarhus, Denmark
Provided statistics and general university-life assistance.
 
 
 
 
 

Student Data Scientist

TV2 Østjylland

Jun 2017 – Aug 2018 Aarhus, Denmark
Created dashboards for visualization of KPIs and analysed data from e.g. Google Analytics.

Contact