Teaching:
-
Semiar supervision for Computational Biomarker Discovery
Saarland University
-
Teaching assistant for Bioinformatics I
Saarland University -
Semiar supervision for Computational Biomarker Discovery
Saarland University
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Teaching assistant for Bioinformatics II
Saarland University -
Semiar supervision for Machine Learning Applications in
Bioinformatics
Saarland University
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Semiar supervision for Machine Learning Applications in
Bioinformatics
Saarland University
-
Semiar supervision for Machine Learning Applications in
Bioinformatics
Saarland University
-
Semiar supervision for Computational Biomarker Discovery
Saarland University
-
Semiar supervision for Computational Biomarker Discovery
Saarland University
-
Teaching assistant for Bioinformatics I
Saarland University -
Semiar supervision for Bioinformatic Approaches for Personalized Cancer
Treatment
Saarland University
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Teaching assistant for Bioinformatics II
Saarland University -
Semiar supervision for Bioinformatic Approaches for Personalized Cancer
Treatment
Saarland University
-
Semiar supervision for Project Seminar: Machine Learning
Saarland University
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Tutor for Bioinformatics II
Saarland University
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Tutor for Bioinformatics I
Saarland University -
Tutor for Preparatory Course in Mathematics for Computer
Scientists
Saarland University
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Tutor for Mathematics for Computer Scientists II
Saarland University
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Tutor for Mathematics for Computer Scientists I
Saarland University -
Tutor for Preparatory Course in Mathematics for Computer
Scientists
Saarland University
Thesis/Project Advisor:
Student research assistants:
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Lisa-Marie Rolli
(2022 - today)
Master theses:
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< Work in progress >
Lisa-Marie Rolli -
Drug sensitivity prediction using biased random forests
Afnan Sultan (2023) -
Drug sensitivity prediction using neural networks
Lea Eckhart (2020) -
Causal inference of small regulatory modules
G. S. (2020) -
VAIANA: a region-based functional annotation tool for genetic variants
C. M. (2020) -
Evaluation of association measures based on cumulative entropy
L. S. (2019)
Bachelor theses:
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< Work in progress >
L. H. -
< Work in progress >
F. S. -
T-cell classification by application of neural networks to single-cell RNAseq data from
blood cells
J. G. (2024) -
Advanced high-throughput enrichment analysis with metabolomics data using
GeneTrail3
E. S. H. (2023) -
Anticancer drug sensitivity prediction based on drug and cell line similarities
N. E. (2023) -
Conformal prediction on drug sensitivity data using random forest
Lisa-Marie Rolli (2022), won best bachelor's thesis award by FdSI -
A multi-task formulation of the method for rule identification with multi-omics data
(MERIDA)
A. B. (2022) -
Identification of key transcriptional regulators using single cell data
J. S. (2021) -
Integrating genomic lineage reconstruction of single cells into the GeneTrail3
workflow
G. v. A. (2020) -
Inferring rule-based biomarkers for neuroblastoma
B. A. (2019) -
Network-based integration of omics data for prioritizing cancer genes
A. K. (2018)