Aside

Skills

  • Statistical programming, analysis, and modeling

  • R: Data analysis, management, and visualization, package development

  • Machine learning and benchmarking in R (mlr3, batchtools)

  • Experience with HPC systems (TORQUE/PBS, Slurm)

  • Reproducible reporting and interactive app development (Shiny, RMarkdown, quarto)

  • Version control (git, GitHub) and CI/CD (GitHub Actions)

  • Basics in SAS, SQL

Languages

German (Native)

English (Fluent)

Main

Lukas Burk

Education

2021

M. Sc. in Medical Biometry / Biostatistics

University of Bremen Bremen, Germany

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

Leibniz Institute for Prevention Research and Epidemiology - BIPS

2018

B. A. in Public Health

University of Bremen Bremen, Germany

Thesis: Detection of Concomitant Use of Medications in GePaRD

Leibniz Institute for Prevention Research and Epidemiology - BIPS

Work

Since 2021

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
2019

Internship: Biometry

Leibniz Institute for Prevention Research and Epidemiology - BIPS Bremen, Germany
  • 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
2019

Student assistant

Competence Center for Clinical Trials (KKSB) Bremen, Germany
  • Support during the analysis of study data
  • Descriptive tables
  • Exploratory linear regression modeling
20162017

Internship: Biometry, Epidemiology

Leibniz Institute for Prevention Research and Epidemiology - BIPS Bremen, Germany
  • Creation of an R / Shiny application for interactive data validation
  • Data management and descriptive statistics

Teaching

20142018

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”

Publications

Please refer to lukasburk.de/publications