Machine Learning & Computational Biology Lab

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PhD theses

The following PhD theses have been conducted in the lab in the recent years at ETH.

Significant Pattern Mining for Biomarker Discovery  

Felipe Llinares-​​López
Thesis defended on May 8, 2018
Examiners: Karsten Borgwardt, Koji Tsuda, and Volker Roth

Download  |  external pageETH Research Collection

Felipe was awarded an 2019 ETH medal for his outstanding PhD thesis.

Machine Learning for Interaction Discovery in Genetics and Bioengineering  

Laetitia Papaxanthos
Thesis defended on March 30, 2020
Examiners: Karsten Borgwardt, Niko Beerenwinkel, and Alfonso Valencia

Download  |  external pageETH Research Collection

 

Exploring the Genotype-​Phenotype Relationship Using Big Data and Machine Learning

Matteo Togninalli
Thesis defended on June 6, 2020
Examiners: Karsten Borgwardt, Edward S. Buckler, Richard A. Neher, and William Stafford Noble

Download  |  external pageETH Research Collection

Matteo was awarded an 2021 ETH medal for his outstanding PhD thesis.

Machine learning on molecular networks to decipher the genetics underlying complex traits

Anja Gumpinger
Thesis defended on June 22, 2020
Examiners: Karsten Borgwardt, Niko Beerenwinkel, and Kasper Lage

Download  |  external pageETH Research Collection

Towards MRI data analysis via learning on graphs

Elisabette Ghisu
Thesis defended on August 18, 2020
Examiners: Karsten Borgwardt, Tanja Stadler, and Gabriele Lohmann

Download  |  external pageETH Research Collection

Motifs and Manifolds Statistical and Topological Machine Learning for Characterising and Classifying Biomedical Time Series

Christian Bock
Thesis defended on October 18, 2021
Examiners: Karsten Borgwardt, Finale Doshi-Velez, and Smita Krishnaswamy

Online  |  external pageETH Research Collection

Longitudinal pattern mining for the intensive care unit

Thomas Gumbsch
Thesis defended on December 13, 2020

MALDI-​TOF mass spectrometry based clinical antimicrobial resistance prediction using machine learning

Caroline Weis
Thesis defended on December 14, 2021
Examiners: Karsten Borgwardt, Adrian Egli, and Jean-Philippe Vert

Download  |  external pageETH Research Collection

Machine Learning on Clinical Time Series: Classification and Representation Learning

Michael Moor
Thesis defended on December 14, 2021
Examiners: Karsten Borgwardt, Smita Krishnaswamy, amd Jenna Wiens

Download  |  external pageETH Research Collection

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