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SUMMARY:Pharmacology Seminar Series: Dr Evangelia Petsalaki\, From data to
 wards Digital Twins of biological systems: Network-based approaches to stu
 dy context-specific cell signalling - Speaker to be confirmed
DTSTART:20260130T130000Z
DTEND:20260130T140000Z
UID:TALK242095@talks.cam.ac.uk
CONTACT:116482
DESCRIPTION:Friday 30 January\, 13:00 - 14:00\n\nSpeaker: Dr Evangelia Pet
 salaki\, EMBL-EBI\n\nTalk Title: From data towards Digital Twins of biolog
 ical systems: Network-based approaches to study context-specific cell sign
 alling.\n\nBiography: Evangelia Petsalaki is a computational biologist wit
 h over 20 years of experience in systems biology\, network biology\, and m
 odelling of cell signalling. Her research focuses on how dynamic\, context
 -specific signalling processes determine cellular phenotypes\, with direct
  relevance to disease mechanisms and therapeutic response.\n\nEvangelia co
 mpleted her PhD at EMBL Heidelberg in structural bioinformatics (Russell g
 roup\; summa cum laude\, Wilma Moser Prize)\, followed by postdoctoral wor
 k in Toronto integrating systems and experimental biology to study signall
 ing rewiring (Pawson and Roth groups). Since 2017\, she has led the Whole 
 Cell Signalling group at EMBL-EBI\, developing data-driven frameworks that
  combine machine learning\, network biology\, and perturbation data to bui
 ld predictive models of cellular behaviour. Her work spans cancer drug res
 istance\, immune signalling\, metabolic liver disease\, and organoid-based
  digital twins. \n\nOverall\, her work aims to bridge data-driven and mech
 anistic approaches to generate interpretable\, predictive models that info
 rm experimental design and translational decision-making.
LOCATION:Seminar Room (Level 2)\, Dept of Pharmacology 
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