Stefanie Peschel

PhD candidate in Biostatistics

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

90%

R Package Development

90%

R Markdown

85%

LaTeX

80%

Git

70%

Python

30%

sas

10%

C/C++

10%

Software skills

Notion

80%

LibreOffice

70%

MS Office

70%

MS PowerPoint

90%

Inkscape

90%

GIMP

90%

Shotcut

70%

Research topics

Statistics

Microbiome data

Network analysis

Permutation testing

Languages

German

99%

English

70%

Interests

Photography

AI art

Science & Technology

Experience & Education

Doctoral candidate

Ludwig-Maximilians-Universität München
Department of Statistics

October 2022 – Present Munich

Head of the Early Career Working Group

IBS-DR
(German Region of the International Biometric Society)

March 2021 – Present Munich

Doctoral candidate

Helmholtz Zentrum München
Institute of Asthma and Allergy Prevention

October 2018 – October 2022 Munich

M.Sc. in Statistics
(with an Economic and Social Science Background)

Ludwig-Maximilians-Universität München
Department of Statistics

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

Internship

BMW group

October 2016 – March 2017 Munich

Statistical consulting as part of the master´s degree program of the Department of Statistics at LMU Munich

B.Sc. in Statistics

Ludwig-Maximilians-Universität München
Department of 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

Research assistant

Ludwig-Maximilians-Universität München
Department of Statistics

August 2016 – October 2016 Munich

Bachalor of Science (B.Sc.) in Statistics

Ludwig-Maximilians-Universität München
Department of Statistics

April 2013 – March 2016 Munich

Studies in Business Mathematics

Ludwig-Maximilians-Universität München
Department of Statistics

October 2011 – March 2013 Munich

Financial advisor

Commerzbank AG

October 2011 – September 2018 Munich

As part-time job in parallel with my university studies

Financial advisor

Commerzbank AG

August 2009 – September 2011 Munich

Bank traineeship

Commerzbank AG

September 2007 – July 2009 Munich

Awards

Bernd-Streitberg-Preis 2018

IBS-DR Mar 2019

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.

Featured Publications

Stefanie Peschel, Christian L. Müller, Erika von Mutius, Anne-Laure Boulesteix, Martin Depner

July, 2021 Briefings in Bioinformatics

NetCoMi: network construction and comparison for microbiome data in R

NetCoMi is an R package that implements our proposed workflow for constructing and analyzing single microbial association networks as well as quantifying network differences.

Publications

Theresa Ullmann, Stefanie Peschel, Philipp Finger, Christian L. Müller, Anne-Laure Boulesteix (2023). Over-optimism in unsupervised microbiome analysis: Insights from network learning and clustering. PLOS Computational Biology.

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Stefanie Peschel, Christian L. Müller, Erika von Mutius, Anne-Laure Boulesteix, Martin Depner (2021). NetCoMi: network construction and comparison for microbiome data in R. Briefings in Bioinformatics.

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Martin Depner, Diana Hazard Taft, Pirkka V. Kirjavainen, Karen M. Kalanetra, Anne M. Karvonen, Stefanie Peschel, et al (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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Alessandra R. Brazzale, Helmut Küchenhoff, Stefanie Peschel, Tobias S. Schiergens, Heiko Trentzsch, Wolfgang Hartl (2019). Nonparametric change point estimation for survival distributions with a partially constant hazard rate. Lifetime Data Analysis.

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Stefanie Peschel (2015). Change-Point-Schätzung bei Überlebensdauern von Intensivpatienten. LMU München.

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