Dr. Line Clemmensen

Associate Professor

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Biography

Line Katrine Harder Clemmensen is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark. Her research focuses on statistical modeling, machine learning, deep learning, and sparse methods. Clemmensen seeks feasible solutions to complex data problems, emphasizing the importance of model generalization. Her work aims to contribute predictive models that can explain critical issues across various fields, including environmental and biological sciences, industrial applications, and finance. With a Ph.D. from the Department of Informatics at Technical University of Denmark, Clemmensen has notable experience in telecommunications and has engaged in multiple projects addressing real-world challenges. She has supervised numerous Ph.D. candidates and has been involved in academic activities including conference presentations and workshops related to machine learning.

Research Interests

Experience

Principal Data Scientist

2016-08-01 — 2017-07-31

Maersk Group •

Requirements for Technical University of Denmark

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:88
Prerequisites
Bachelor of Science in Engineering or equivalent Strong background in Mathematics and Physics
Application Checklist
  • Official Bachelor's degree diploma
  • Official transcripts of records
  • Statement of purpose
  • Curriculum Vitae (CV)
  • Documentation of English proficiency
  • Copy of passport
Specialization Notes

This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.