Stefanie Peschel

Stefanie Peschel

PhD candidate in Biostatistics

LMU Munich

MCML

Hey, my name is Stefanie. I am a doctoral candidate in Biostatistics at the LMU Munich, supervised by Professor Anne-Laure Boulesteix. I am also affiliated with the MCML (Munich Center for Machine Learning).

I started my PhD at the Institute of Asthma and Allergy Prevention at the Helmholtz Zentrum München and now continue my work in the Biomedical Statistics and Data Science group of Professor Christian L. Müller.

I studied Statistics with an Economic and Social Science Background at the LMU. My master’s thesis was my first foray into the world of microbial network analysis, which formed the basis of my doctoral studies. My research topics include analyzing microbial compositional data, network analysis and comparison, differential association testing, and permutation p-value approximation.

Besides my scientific activities, I also lead the Early Career Working Group (AG Nachwuchs) of the IBS-DR.

Programming skills

r-project
R

90%

software-package
R Package Development

90%

rmarkdown
R Markdown

85%

latex
LaTeX

80%

git
Git

70%

python
Python

30%

sas
sas

10%

cpp
C/C++

10%

Software skills

notion
Notion

80%

libreoffice
LibreOffice

70%

ms_office
MS Office

70%

powerpoint
MS PowerPoint

90%

inkscape
Inkscape

90%

gimp
GIMP

90%

shotcut
Shotcut

70%

Research topics

line_chart
Statistics
microbiome
Microbiome data
network-analysis
Network analysis
permutation
Permutation testing

Languages

DE
German

99%

EN
English

70%

Interests

camera
Photography
ai-image
AI art
science_technology
Science & Technology

Experience & Education

 
 
 
 
 
__Ludwig-Maximilians-Universität München__
Department of Statistics
Doctoral candidate
October 2022 – Present Munich
 
 
 
 
 
__IBS-DR__
(German Region of the International Biometric Society)
Head of the Early Career Working Group
March 2021 – Present Munich
 
 
 
 
 
__Helmholtz Zentrum München__
Institute of Asthma and Allergy Prevention
Doctoral candidate
October 2018 – October 2022 Munich
 
 
 
 
 
__Ludwig-Maximilians-Universität München__
Department of Statistics
M.Sc. in Statistics
(with an Economic and Social Science Background)
April 2016 – May 2018 Munich
Grade 1.15 (approximately equivalent to an “A” grade or a British 1st class)
Thesis title: “Statistical Approaches to Characterize and Compare Networks of Microbiome Data”
Supervisor: Prof. Dr. Anne-Laure Boulesteix
 
 
 
 
 
BMW group
Internship
October 2016 – March 2017 Munich
Statistical consulting as part of the master´s degree program of the Department of Statistics at LMU Munich
 
 
 
 
 
__Ludwig-Maximilians-Universität München__
Department of Statistics
B.Sc. in Statistics
April 2013 – March 2016 Munich
Grade 1.24 (approximately equivalent to an “A” grade or a British 1st class)
Thesis title: “Change-Point-Schätzung bei Überlebensdauern von Intensivpatienten”
Supervisor: Prof. Dr. Helmut Küchenhoff
 
 
 
 
 
__Ludwig-Maximilians-Universität München__
Department of Statistics
Research assistant
August 2016 – October 2016 Munich
 
 
 
 
 
__Ludwig-Maximilians-Universität München__
Department of Statistics
Bachalor of Science (B.Sc.) in Statistics
April 2013 – March 2016 Munich
 
 
 
 
 
__Ludwig-Maximilians-Universität München__
Department of Statistics
Studies in Business Mathematics
October 2011 – March 2013 Munich
 
 
 
 
 
__Commerzbank AG__
Financial advisor
October 2011 – September 2018 Munich
As part-time job in parallel with my university studies
 
 
 
 
 
__Commerzbank AG__
Financial advisor
August 2009 – September 2011 Munich
 
 
 
 
 
__Commerzbank AG__
Bank traineeship
September 2007 – July 2009 Munich

Awards

The price was awarded by the the German Region of the International Biometric Society (IBS-DR) for my master thesis “Statistical Approaches to Characterize and Compare Networks of Microbiome Data”

Projects

*
Permutation p-value approximation
Accurate p-value approximation in permutation testing while strictly avoiding zero p-values
NetCoMi
Network Construction and Comparison for Microbiome Data
Noun Project
Platform for icons and symbols, where I upload my self-made icons.
Early Career Working Group
IBS-DR working group supporting statisticians in the early stages of their careers.

Publications

(2023). Over-optimism in unsupervised microbiome analysis: Insights from network learning and clustering. PLOS Computational Biology.

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(2021). NetCoMi: network construction and comparison for microbiome data in R. Briefings in Bioinformatics.

PDF Cite Code DOI

(2020). Maturation of the gut microbiome during the first year of life contributes to the protective farm effect on childhood asthma. Nature Medicine.

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(2019). Nonparametric change point estimation for survival distributions with a partially constant hazard rate. Lifetime Data Analysis.

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Contact

If you would like to contact me, please write me a message on LinkedIn or GitHub.