Lasse Hansen

Lasse Hansen

PhD Student in Machine Learning for Healthcare

Aarhus University

Biography

I am cognitive scientist and soon-to-be 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

R

Python

Statistics

Machine Learning

Natural Language Processing

Acoustic analysis

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