February 25 · 5:00 PM
PhD synopsis seminar of Upasana Ray
Deciphering the topology and dynamics of gene regulatory networks driving cancer progression and therapy response.
GRN Topology & Dynamics · Transcriptomic & Functional Heterogeneity · Metabolic Heterogeneity · Transcriptional State Dynamics · Mathematical Modeling · Noise propagation · Evolutionary Biology · Machine Learning
February 25 · 5:00 PM
Deciphering the topology and dynamics of gene regulatory networks driving cancer progression and therapy response.
February 12 - 14, 2026
The workshop brings together academic researchers, clinicians, and students working in theoretical and experimental cancer biology and therapeutics.
Investigating how ribosome demand links transcriptional bursts to protein noise, influencing phenotypic heterogeneity.
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Exploring the role of cryptic vs de-novo mutations in adaptation to novel stressful environments using yeast models.
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Genome-wide identification of gene expression noise changes during cancer progression and its role in drug resistance.
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