Aside

Contact

Skills

Languages

German (Native)

English (Fluent)

Main

Lukas Burk

Education

M. Sc. in Medical Biometry / Biostatistics

University of Bremen

Bremen, Germany

2021

Thesis: A Comparison of Deep Learning Models for Energy Expenditure Prediction in Preschoolers

Leibniz Institute for Prevention Research and Epidemiology - BIPS

B. A. in Public Health

University of Bremen

Bremen, Germany

2018

Thesis: Detection of Concomitant Use of Medications in GePaRD

Leibniz Institute for Prevention Research and Epidemiology - BIPS

Work

PhD Student / Research Fellow

Leibniz Institute for Prevention Research and Epidemiology - BIPS / Chair of Statistical Learning and Data Science, LMU Munich

Bremen and Munich, Germany

Since 2021

Internship: Biometry

Leibniz Institute for Prevention Research and Epidemiology - BIPS

Bremen, Germany

2019

  • Creation of a handout on the topic of count data and modeling approaches
  • Descriptive tables for validation purposes in the context of an ongoing study

Student assistant

Competence Center for Clinical Trials (KKSB)

Bremen, Germany

2019

  • Support during the analysis of study data
  • Descriptive tables
  • Exploratory linear regression modeling

Internship: Biometry, Epidemiology

Leibniz Institute for Prevention Research and Epidemiology - BIPS

Bremen, Germany

2016 - 2017

  • Creation of an R / Shiny application for interactive data validation
  • Data management and descriptive statistics

Teaching

Teaching assistant for quantitative methods

University of Bremen

Bremen, Germany

  • Tutorials for first year undergraduates in psychology
  • Basics of descriptive and inferential statistics
  • Application of these contents using R & RStudio
  • Yearly course “Introduction to R”

2014 - 2018

Publications

Gridsampler: A Simulation Tool to Determine the Required Sample Size for Repertory Grid Studies

Implementation of the user interface in Shiny

Bremen, Germany

2016

Heckmann, M. & Burk, L.. Gridsampler – A Simulation Tool to Determine the Required Sample Size for Repertory Grid Studies. JORS 5, 2 (2017).