Kerstin Lenhof
PostDoc @ ETH Zürich
About Me
Curriculum Vitae
Publications
Teaching
Academic Service
Teaching:
Summer term 2023
Seminar supervision for Computational Biomarker Discovery
Saarland University
Winter term 2022/23
Teaching assistant for Bioinformatics I
Saarland University
Seminar supervision for Computational Biomarker Discovery
Saarland University
Summer term 2022
Teaching assistant for Bioinformatics II
Saarland University
Seminar supervision for Machine Learning Applications in Bioinformatics
Saarland University
Winter term 2021/22
Seminar supervision for Machine Learning Applications in Bioinformatics
Saarland University
Summer term 2021
Seminar supervision for Machine Learning Applications in Bioinformatics
Saarland University
Winter term 2020/21
Seminar supervision for Computational Biomarker Discovery
Saarland University
Summer term 2020
Seminar supervision for Computational Biomarker Discovery
Saarland University
Winter term 2019/20
Teaching assistant for Bioinformatics I
Saarland University
Seminar supervision for Bioinformatic Approaches for Personalized Cancer Treatment
Saarland University
Summer term 2019
Teaching assistant for Bioinformatics II
Saarland University
Seminar supervision for Bioinformatic Approaches for Personalized Cancer Treatment
Saarland University
Summer term 2018
Seminar supervision for Project Seminar: Machine Learning
Saarland University
Summer term 2016
Tutor for Bioinformatics II
Saarland University
Winter term 2015/16
Tutor for Bioinformatics I
Saarland University
Tutor for Preparatory Course in Mathematics for Computer Scientists
Saarland University
Summer term 2015
Tutor for Mathematics for Computer Scientists II
Saarland University
Winter term 2014/15
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:
Lisa-Marie Rolli
(2022 - 2024 (June))
Master theses:
Increasing Trust in ML-based Drug Sensitivity Prediction
Lisa-Marie Rolli (2024)
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:
Drug Synergy and Sensitivity Prediction using Feed Forward Neural Networks
Lutz Herrmann (2024)
< 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)