Prakash Kulkarni

The paper shows how regulatory noise affects cell-fate decisions by altering phenotype occupancy in gene regulatory networks.

This paper develops a novel syngeneic mouse model for HNSCC to study immune evasion and evaluates its response to immunotherapies.

The paper uses fractal geometry and DNA walk analysis to identify distinct geometric features in nucleotide patterns of oncogenes and tumour-suppressor genes, highlighting their potential in cancer research.

The paper investigates how mutually repressing network motifs maintain their dynamics when embedded in larger networks, finding that increased connectivity and self-inhibition reduce their canonical behavior.

This study identifies coupled feedback loops in prostate cancer cells that generate non-genetic heterogeneity through oscillations and multistability in AR, EMT, and Notch signaling.