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

Transcription Factor Target Search on Chromatin via Electrostatic Interactions

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

Lausanne, EPFL, 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. 

The Regulation of Transcription Factors Binding Site Occupancies by Their Concentrations

R. Mizeret / D. M. Suter (Dir.)  

Lausanne, EPFL, 2025. 

Light-directed evolution of dynamic biological systems

V. Gligorovski / S. J. Rahi (Dir.)  

Lausanne, EPFL, 2025. 

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. 

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

I. Lamberti / F. Naef (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. 

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. 

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. 

Predicting protein interactions using geometric deep learning on protein surfaces

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

Lausanne, EPFL, 2024. 

Coarse grain modelling of DNA self-assembly over multiple scales

V. Caroprese / M. Bastings (Dir.)  

Lausanne, EPFL, 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. 

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. 

Host-Pathogen Interactions Through the Genomic Lens

Z. M. Xu / J. Fellay (Dir.)  

Lausanne, EPFL, 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. 

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.