معرفی
Adam Charles is an Assistant Professor in Biomedical Engineering at Johns Hopkins University, affiliated with the Center for Imaging Science. His research focuses on developing advanced imaging systems and data science tools to address challenges in neuroscience, including neural imaging, computational neuroscience, and signal processing. He holds a PhD in Electrical and Computer Engineering from Georgia Institute of Technology and post-doctoral training at the Princeton Neuroscience Institute.
Research interests include multi-photon calcium imaging advancements, theoretical analysis of recurrent neural networks, and creating general-purpose data science methods with broader applications. His lab emphasizes collaborative, theory- and data-driven approaches to overcome high-dimensional neural activity challenges.
Recent achievements include an NSF CAREER Award ($718,681) for studying brain architecture, Chan Zuckerberg Initiative awards, and a Johns Hopkins Discovery Award. His work bridges experimental and computational neuroscience, with contributions to spike sorting, neural dynamics modeling, and imaging innovations.
Key projects involve developing tools like realSEUDO for real-time calcium imaging and CREIMBO for multi-view brain data integration. His research also explores prospective learning, chronic brain imaging in rodents, and closed-loop stimulation simulations using the Cleo platform.
