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.

2025

Leveraging chromatin modules to explore the impact of regulatory variation on disease

O. Pushkarev / B. Deplancke (Dir.)  

Lausanne, EPFL, 2025. 

Non-equilibrium control of biomolecular condensates

A. Shelest / P. De Los Rios (Dir.)  

Lausanne, EPFL, 2025. 

Light-directed evolution of dynamic biological systems

V. Gligorovski / S. J. Rahi (Dir.)  

Lausanne, EPFL, 2025. 

The Regulation of Transcription Factors Binding Site Occupancies by Their Concentrations

R. Mizeret / D. M. Suter (Dir.)  

Lausanne, EPFL, 2025. 

Transcription Factor Target Search on Chromatin via Electrostatic Interactions

S. Sakong / D. Suter; B. Fierz (Dir.)  

Lausanne, EPFL, 2025. 

2024

Unraveling behavioral individuality in Drosophila melanogaster: An automated high-throughput screening approach

R. Manna / K. Hess Bellwald; A. M. Jaksic (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. 

Label-Efficient Deep Learning Methods for Event Detection, Object Segmentation and Cell Tracking in Biological Microscopy Images

B. Gallusser / M. Dal Peraro; M. Weigert (Dir.)  

Lausanne, EPFL, 2024. 

Characterisation of EIF5A perturbations on ribosome dynamics with single-molecule imaging

I. Lamberti / F. Naef (Dir.)  

Lausanne, EPFL, 2024. 

Quantifying Interaction of Single Molecules with Surfaces using Label-Free Microscopy

J. Sülzle / S. Manley (Dir.)  

Lausanne, EPFL, 2024. 

Development of Machine Learning methods for the kinetic modelling of metabolic networks for biotechnological and biomedical applications

S. Choudhury / V. Hatzimanikatis; L. Miskovic (Dir.)  

Lausanne, EPFL, 2024. 

Coarse grain modelling of DNA self-assembly over multiple scales

V. Caroprese / M. Bastings (Dir.)  

Lausanne, EPFL, 2024. 

Predicting protein interactions using geometric deep learning on protein surfaces

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

Lausanne, EPFL, 2024. 

Study of disease-associated proteins using integrative structural biology: the case of GOLPH3 and PREPL

A. Theodoropoulou / M. Dal Peraro (Dir.)  

Lausanne, EPFL, 2024. 

Deciphering the nature of cell state transitions in single cells using quantitative modeling of temporal dynamics

A. R. Lederer / G. La Manno (Dir.)  

Lausanne, EPFL, 2024. 

2023

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, 2023. 

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. 

2022

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.