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Research Interests
Research Interests
Cellular Engineering
Cellular Engineering
Application of engineering approaches to develop quantitative understanding of cell function and apply this understanding for deciphering the action of drugs. This approach was used to identify calcium channel blockers as potential anti-stroke drug.
Live cell imaging and quantitative microscopy
Live cell imaging and quantitative microscopy
Development of live imaging techniques using confocal microscopy to measure dynamics of protein aggregation. This approach leads to observe the intracellular phase separation under neurodegenerative condition.
Disease models
Disease models
Construction of cell-based disease model based on hypoxia/hyperglycemia and drug testing. Implementation of deep learning models for automated image segmentation.
Construction of cell-based disease model based on hypoxia/hyperglycemia and drug testing. Implementation of deep learning models for automated image segmentation.
Systems Biology
Systems Biology
Construction of mathematical model for signaling network and parameter estimation using Monte Carlo sampling. Development of digital model of cell systems using machine learning and biophysical models.
Imaging and Data acquisition in Bioprocess Engineering
Imaging and Data acquisition in Bioprocess Engineering
We plan to build a miniaturized bioreactor and data acquisition system with real time monitoring of bioprocess parameters. The major goal is to analyse the redox status , cell density and protein expression for AI based predictive models that can be used for process control and optimization.
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