Exploring Biological Systems to understand the Synergy between its Components, from Cells to Microniche
GRN Topology & Dynamics • Transcriptomic & Functional Heterogeneity • Metabolic Heterogeneity • Transcriptional State Dynamics • Mathematical Modeling • Noise propagation • Evolutionary Biology • Machine Learning
Events
Congratulations to Dr. Upasana Ray for successful defense of her Ph.D. thesis
Deciphering topology and dynamics of gene regulatory networks in driving cancer progression and therapy resistance
Research Highlights
Investigating how ribosome demand links transcriptional bursts to protein noise, influencing phenotypic heterogeneity in cell populations. Learn more →
Exploring the role of cryptic vs de-novo mutations in adaptation to novel stressful environments using yeast models. Learn more →
Genome-wide identification of gene expression noise changes during cancer progression and its role in drug resistance. Learn more →
Recent Publications
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2026
Pan-cancer analysis reveals mtDNA copy number as a key determinant of mutational load and disease progression in cancer bioRxiv 2025 (accepted in The FEBS Journal, 2026)
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2026
Gene regulatory network transitions reveal the central transcription factors in lung adenocarcinoma progression npj Systems Biology and Applications (2026)
Life at SIMBIOS Lab
SIMBIOS Lab at IIT Kharagpur encompasses everything from cutting edge research to vibrant lab culture. Our interdisciplinary team of biologists, engineers, and students collaborate on experimental research work as well as rigorous computational modeling of biosystems. We foster a supportive environment that encourages creativity and pushes for unique personalized contributions. From celebrating milestones together to engaging in lively scientific discussions, life at SIMBIOS Lab is as dynamic and enriching as the research we conduct.
Formerly known as the Systems Biology Lab (SBL).
More coming soon... !