EDCB Published theses

It is our pleasure to present the theses undertaken in the frame of the EPFL PhD Program in Computational and Quantitative Biology.


Predicting protein interactions using geometric deep learning on protein surfaces

F. Sverrisson / B. E. Ferreira De Sousa Correia; M. Bronstein (Dir.)  

Lausanne, EPFL, 2024. 

Investigating the intra-molecular and inter-molecular effects of post-translational modifications on intrinsically disordered protein regions and structured protein regions

Z. Zhang / M. Dal Peraro; H. Lashuel (Dir.)  

Lausanne, EPFL, 2024. 

Meeting our Makers: Uncovering the cis-regulatory activity of transposable elements using statistical learning

C. D. S-T. Pulver / D. Trono (Dir.)  

Lausanne, EPFL, 2024. 

Deconvolution of ex-vivo drug screening data and bulk tissue expression predicts the abundance and viability of cancer cell subpopulations

A. Coudray / D. Trono; G. La Manno (Dir.)  

Lausanne, EPFL, 2024. 


Host-Pathogen Interactions Through the Genomic Lens

Z. M. Xu / J. Fellay (Dir.)  

Lausanne, EPFL, 2023. 

A single-cell-based characterization of mammalian adipose stem and progenitor cell heterogeneity and function

P. Y. Rainer / B. Deplancke (Dir.)  

Lausanne, EPFL, 2023. 


The interplay between human genetic variation, chronic inflammation and persistent infection: relevance for cardiovascular morbidity

F. A. S. Hodel / J. Fellay (Dir.)  

Lausanne, EPFL, 2022. 

Integrative transcriptome analyses of Transposable Elements (TEs) and genes contribute to a better understanding of colorectal cancer

E. Shin / D. Trono; G. Ciriello (Dir.)  

Lausanne, EPFL, 2022. 


New Methods for the Integrative Dynamic Modeling of Biomolecular Structures

S. Träger / M. Dal Peraro (Dir.)  

Lausanne, EPFL, 2021. 

On the use of applied machine learning and digital infrastructure to leverage social media data in health and epidemiology

M. M. Müller / M. Salathé (Dir.)  

Lausanne, EPFL, 2021. 


Inference methods for the study of interacting biological oscillators in single-cells

C. N. Droin / F. Naef (Dir.)  

Lausanne, EPFL, 2020. 

Computational study of transcription factor binding sites

R. F. P. Groux / B. Deplancke; P. Bucher (Dir.)  

Lausanne, EPFL, 2020. 

Contact networks across ages: computational analysis of epidemiological dynamics

G. Lazzari / M. Salathé (Dir.)  

Lausanne, EPFL, 2020. 

Multi-omics reveals abundant mitochondrial genomic and circadian expression variation in the Drosophila Genetic Reference Panel

M. Litovchenko / B. Deplancke (Dir.)  

Lausanne, EPFL, 2020. 


Systems genetics approaches to probe gene function

H. Li / J. Auwerx (Dir.)  

Lausanne, EPFL, 2019. 

Exploring on Protein-DNA interactions

A. S. Kalantzi / M. Dal Peraro (Dir.)  

Lausanne, EPFL, 2019. 

High-Temperature Water Effects on the Fracture Behaviour of Low-Alloy Reactor Pressure Vessel Steels

Z. Que / P. Spätig (Dir.)  

Lausanne, EPFL, 2019. 


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An “ideal lignin” facilitates full biomass utilization

Y. Li; L. Shuai; H. Kim; A. H. Motagamwala; J. K. Mobley et al. 

Science Advances. 2018. Vol. 4, num. 9, p. eaau2968. DOI : 10.1126/sciadv.aau2968.


Localizing Polygonal Objects in Man-Made Environments

X. Sun / P. Fua (Dir.)  

Lausanne, EPFL, 2015. 


Identity-Preserving Multiple People Tracking

H. B. Ben Shitrit / P. Fua; F. Fleuret (Dir.)  

Lausanne, EPFL, 2014. 


Measuring In Vivo Protein Half-Life

K. Bojkowska; F. Santoni De Sio; I. Barde; S. Offner; S. Verp et al. 

Chemistry & Biology. 2011. Vol. 18, num. 6, p. 805-815. DOI : 10.1016/j.chembiol.2011.03.014.


Etude de la fragilité (KIC) et du comportement sous sollicitation de fatigue de l’acier maraging en fonction de son état structural et des propriétés mécaniques correspondantes

L. Haenny / J. Paschoud (Dir.)  

Lausanne, EPFL, 1973.