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The Radhakrishnan Lab specializes in creating digital twin models for cancer treatment using nanomedicine. We focus on developing computational algorithms that span molecular and cellular scales, employing theoretical formalisms from statistical mechanics and applied machine learning. Our lab has successfully established funded collaborations with pharmacologists, cell biologists, biophysical chemists, anaesthesiologists, and oncologists, receiving grants from the National Science Foundation, National Institutes of Health, Department of Energy, and the European Research Council. We investigate intracellular trafficking and the properties of biological membranes which are critical in cell communications. Furthermore, we utilize a combination of quantum mechanics, molecular dynamics, and bioinformatics to explore cancer-driving mutations, aiming to distinguish passenger from driver mutations. Our research advances in silico oncology and targeted drug delivery systems that leverage machine learning to innovate pharmacodynamic models that optimize drug delivery vehicles in a clinical context.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.