Konstantin Pelz

I am a Ph.D. student in the Data Science in Systems Biology and am working on a project to expanding protein-protein interaction networks on the level of isoforms.

Before joining the group as a Ph.D. student, I already worked with them and a project partner at the Medical University of Innsbruck on Omnideconv, an R package combining second-generation methods for cell-type deconvolution.

I worked a lot with machine learning to create tools for researchers, like in my Master thesis, where I used the clustering of network embeddings to explore the metabolomic and genetic workings of Alzheimer's disease or like in a project at Stanford University, where we classified images of skin lesions to detect monkeypox.

Throughout my studies I was supervising lectures, projects and internships and enjoyed working with students from all stages of their degree. I am excited to continue this during my Ph.D.

 

Doctoral Candidate in Bioinformatics at DaiSyBio

2024 -

TUM, Germany

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MSc in Bioinformatics

2021-2024

LMU&TUM, Germany

Research Internship at the Institute of Bioinformatics, 2021, Medical University of Innsbruck, Austria
Exchange Semester through a Fulbright Scholarship in Bioinformatics, 2022, Stanford University, USA
Visiting Graduate Assistant in the Krumsiek Lab, 2023, Weill Cornell Medical College, USA

Supervision of a compulsary programming course at the Lehr- und Forschungseinheit für Bioinformatik, 2019-2022 + 2024, LMU, Germany

BSc in Bioinformatics

2017-2021

LMU&TUM, Germany

Research assistant at the IBIS/ICB, 2018-2021, Helmholtz Zentrum Munich, Germany​
Erasmus Semester in Computer science, 2019-2020, Universidad de Alicante, Spain