Integrative Transkriptomik

Dr. Maik Wolfram-Schauerte

Postdoc - AI & Data Science Fellowship Program
Integrative Transcriptomics
Interfaculty Institute for Bioinformatics and Medical Informatics (IBMI)
Sand 14
72076 Tübingen
Room No: C303
Phone: +49 (0)7071 – 29-70448
Email: maik.wolfram-schauerte[at]uni-tuebingen.de

Research topics

Transcriptomics machine learning models
Development of hybrid transcriptomics machine learning models for drug discovery. In order to approach a holistic transcriptome model, both unsupervised and supervised learning are applied to integrate transcriptomics data. This project is part of the AI & Data Science Fellowship Program (https://uni-tuebingen.de/en/237054) – a collaboration between Tübingen University and Boehringer Ingelheim – aiming to develop cutting-edge machine learning models with implications for pharmaceutical research.

Bioinformatics and ML for phage-host interactions
Development and application of methods for the study of phage-host interactions based on omics data.
Focus areas:

  • Transcriptome and transcriptome architecture in phage infections
  • Novel phage genes and phage-encoded host takeover mechanisms

Short Biography

Education & Selected Work Experience

Since 2024Postdoctoral researcher at Integrative Transcriptomics group within AI & Data Science Fellowship Program (https://uni-tuebingen.de/en/237054)
2021 – 2024Doctoral research in Bacterial & Phage Epitranscriptomics at Max Planck Institute for Terrestrial Microbiology, Marburg
2018 – 2021Master of Science in Biochemistry at Heidelberg University | Master’s thesis in Bacterial Epitranscriptomics at Max-Planck-Institute for Terrestrial Microbiology, Marburg
2015 – 2018Bachelor of Science in Molecular Biotechnology at Heidelberg University | Major subject: drug discovery

Scholar- & Fellowships

2025Otto Hahn Award | Max Planck Society
2025Otto Hahn Medal | Max Planck Society
2025Friedrich Hirzebruch-PhD Award | Studienstiftung des deutschen Volkes e.V. 
2022 – 2024Doctoral scholarship | Studienstiftung des deutschen Volkes e.V.
Since 2021Add-On Fellowship for Interdisciplinary Life Sciences | Joachim Herz Foundation
2019ERASMUS scholarship for Master’s internship on enzyme engineering
2017 – 2021Scholarship | Studienstiftung des deutschen Volkes e.V.

See also LinkedIn

Teaching Assistance

Winter 25/26Lecture & Tutorial “Advances in Computational Transcriptomics”
Summer 25 Team Project “Phage Infection Classifier”
Winter 24/25Seminar "Bioinformatics and Machine Learning"

Supervision & Students

Running theses
Master Thesis, B.Sc. Laura Achauer, Project: "Learning of convolution to improve bulk transcriptome deconvolution“
Bachelor Thesis, David Martin, Project: „Identifying and correcting damage in ancient genomic DNA using genomic Language Models“
Master Thesis, B.Sc. Thomas Vogel, Project: „Toward universal transcriptome deconvolution: Cross-species benchmarking and method development in Eukaryota“
Bachelor Thesis, Nina Elicker, Project: „Transcriptomics-driven elucidation of mode-of-action of anti-glioblastoma drugs in mouse brain organoids“

Graduated theses
Master Thesis, B.Sc. Caroline Trust, Project: "Enabling interactive exploration of infections of bacteria on gene expression level"
Bachelor Thesis, Adrian Bernhardt, Project: "Pioneering bacterial bulk transcriptome deconvolution“
Bachelor Thesis, Samuel Müller, Project: "Creating a Nextflow pipeline to uncover and compare unknown gene functions in bacteriophage genomes“

Former Student Assistants
Student Assistant, B.Sc. Thomas Vogel, within Project “Transcriptomics machine learning models”
Student Assistant, B.Sc. Nils Waffenschmidt, within Project "Enabling interactive exploration of infections of bacteria on gene expression level“
Student Assistant, B.Sc. Julia Leeb, within Project "Prokaryotic transcriptome architecture“
 

Publications

For entire publication record take a look at Google scholar or ORCID.