Dr. Frank Miller

Professor

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Biography

Frank Miller is a Professor at Linköping University, where he has been working since 2022. He is the Head of a research unit focused on optimal experimental design with applications in clinical trials and achievement tests. His research is particularly inspired by real-world challenges, creating designs tailored to meet specific needs. Prior to his current position, he was an Associate Professor at Stockholm University from 2013 to 2023. From 2003 to 2012, he applied and developed statistical methods in the pharmaceutical industry at AstraZeneca in Södertälje, Sweden. He received his Ph.D. from the University of Karlsruhe in Germany in 2002. His research interests include Active Machine Learning, Adaptive Sequential Designs, Biostatistics, Clinical Trials, Design Achievement Tests, Optimal Experimental Designs, and Optimization Algorithms.

Research Interests

Experience

Professor

2022-01-01 — Present

Linköping University • Linköping, Sweden

Leading research unit focused on optimal experimental design with various applications.

Associate Professor

2013-01-01 — 2023-01-01

Stockholm University • Stockholm, Sweden

Conducted research and taught courses in the field of statistics.

Applied Statistician

2003-01-01 — 2012-01-01

AstraZeneca • Södertälje, Sweden

Developed and applied statistical methods in the pharmaceutical industry.

Requirements for Linköping University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:5.5
Reading
Required:5.5
Writing
Required:5.5
Speaking
Required:5.5
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
Prerequisites
Bachelor's degree with a major relevant to the program At least 30 ECTS credits in mathematics/applied mathematics and/or application of mathematics
Application Checklist
  • Certificates and diplomas from previous university studies
  • Transcript of records
  • Proof of English proficiency
  • Copy of passport/ID
  • Syllabus for relevant courses
Specialization Notes

Requirements are standardized across the Faculty of Science and Engineering (Institute of Technology) for international Master's programs.