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research • Deep learning and predictive modeling • Natural language processing and large language models for biomedical data • Drug response prediction and treatment optimization • Biomedical knowledge
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collaboration and a life course perspective, CALC strives to optimize the aging experience for diverse populations. By joining CALC, the successful candidate will become part of a dynamic community dedicated to
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and quantum annealing for physics-driven optimization problems is also part of the research portfolio. Detector R&D for future facilities, leveraging Purdue’s infrastructure for detector development
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. This work has the potential to transform how both the targets and therapies for disease are identified. We aim to revolutionize the process of drug discovery in several projects, including: Identify
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innovation behaviors and processes and cultivate innovation ecosystems in complex organizations tackling multi-stakeholder, multi-attribute challenges. -Contribute to the Institute for Innovation Science's
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microenvironment, and other biological processes. Conduct preclinical studies using in vivo disease models (cancer, inflammation, organ injury, etc.) and new alternative methodologies (advanced biological models