Bhavesh Soni (ESR 13; IBM)

Bhavesh Soni (ESR 13; IBM)

Early Stage Researcher

Bhavesh Soni hails from India. He received B.Tech in Bioinformatics after attending D.Y. Patil University, Mumbai and completed his bachelor thesis at the Dept. of Psychopharmacology, National Institute for Mental Health and Neurosciences, Bangalore, India. During his thesis, he worked on a quantitative kinetic model of Sphingosine-1-Phosphate receptor-mediated signaling pathway and linked this model with T cell gene expression data to understand the regulatory mechanism. Further, this model was used to study the effects of an immunosuppressant drug FTY720 in Multiple Sclerosis.

During his past internships at various institutes in India and MSc in Computational molecular biology at the Center for Bioinformatics, Saarland University, Saarbrücken, Germany, his research interests started inclining towards the understanding and integration of multiple spatial and temporal scales noticed in biological nonequilibrium systems. Towards this direction, he joined Theoretical Physics department at the Saarland University for a research assistantship and Master thesis. He considered the context of Intracellular calcium dynamics during T cell activation and used multicomponent Green’s function to analytically solve non-homogeneous PDE in 3D spherical cell along with coupling of Ca2+ influx through stochastic channel formations, Ca2+ out-flux through pumps and Ca2+ - buffer reaction. For this work, he was awarded a DFG funded SFB-1027 Integrated research training fellowship for promising master students.

Apart from this, Bhavesh was also involved in modeling and verification of probabilistic systems and statistical information inferred from large-scale RNA profiling data in normal and tumor cells to identify specific biomarkers for different stages of cancer during his work at the Tata Memorial Centre - Advanced Center for Treatment Research and Education in Cancer (ACTREC), Navi Mumbai, India.

Outside work, he enjoys playing musical instruments, sketching, hiking and reading literature.

Systems Biology
Mathematical Modelling
Statistical Physics


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