Attila Csikász-Nagy: From Modelling Yeast Cells to Digital Twins for Drug Discovery

We hereby invite you to the 32^nd talk of the e:Med online seminar series Modeling approaches for disease processes.  

ZOOM Link 

https://dkfz-de.zoom-x.de/j/69646042610?pwd=w9qsi8VFqct8bL5a0MyQMmgjtNLpr6.1

Meeting-ID: 696 4604 2610, Kenncode: 87641166

Abstract:

This talk will cover two large-scale, spatial stochastic simulations. The first explores yeast colony formation, focusing on cellular interactions and their impact on final colony shape. The second investigates protein complex formation, signaling pathway activation, and perturbation by small molecules. The simulation results are linked to a deep learning tool for identifying protein targets of small molecules, and a machine learning algorithm that connects molecular-level perturbations in various cell types to organism-level physiological responses.

Biosketch:

Attila earned his PhD at the Budapest University of Technology and Economics for his work with Béla Novák on mathematical models of cell-cycle regulation. After a brief postdoc in the USA with John Tyson, he led a research group for five years at the Microsoft Research–University of Trento Centre for Computational and Systems Biology and for three years at Fondazione Edmund Mach, both in Italy. From 2012 to 2022, he was a part-time senior lecturer in computational and systems biology at King’s College London. Since 2015, he has worked at Pázmány Péter Catholic University (PPCU) in Hungary, where he leads a systems biology lab studying yeast cells. He has been a full professor and vice-dean for research at PPCU since 2019. That year, he and colleagues founded Cytocast, a PPCU spinout; since 2021, he has served as its CEO, splitting his time between academia and the startup world.

The seminar series aims to introduce, discuss and compare different mathematical modeling approaches in the field of disease modeling and is open to PhD and master students, postdocs and group leaders in the modeling field.

More information on the seminar: Emed - Online Seminar Series (sys-med.de)

Organization: Jana Wolf, Kevin Thurley, e:Med Project Group Modeling of Disease Processes