Adam Charles

About

Adam Charles, PhD, is an Assistant Professor of Biomedical Engineering at Johns Hopkins University. His research focuses on understanding the brain through the development of powerful imaging and algorithmic tools to address the unique signal processing and machine learning challenges posed by neurophysiological data, neural imaging, and computational neuroscience. His lab aims to create the next generation of imaging systems and analysis tools capable of overcoming the high dimensionality and complexity of neural activity, involving the development of advanced recording technologies through collaborative hardware and algorithm design, as well as computational and theoretical frameworks for understanding biological and artificial neural systems. His research spans advancing specific technologies such as multi-photon calcium imaging via new data science and signal processing methods, the theoretical analysis and development of models in neuroscience like recurrent neural networks, and broader data science advances with applications beyond neuroscience. Dr. Charles has received recognition for his work, including a $2.7 million NIH grant to develop high-speed brain imaging systems and an NSF CAREER award to study the brain’s complex architecture, further establishing his contributions to the fields of neural imaging, computational neuroscience, and data science.

Research topics

• Physics
• Environmental science
• Geology
• Astronomy
• Astrobiology
• Earth science
• Chemistry
• Meteorology
• Geophysics

Selected publications

• Solid-state detector and optical system for microchip analyzers

  OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2023-01-23

  articleOpen access1st authorCorresponding

  A miniaturized optical excitation and detector system is described for detecting fluorescently labeled analytes in electrophoretic microchips and microarrays. The system uses miniature integrated components, light collection, optical fluorescence filtering, and an amorphous a-Si:H detector for detection. The collection of light is accomplished with proximity gathering and/or a micro-lens system. Optical filtering is accomplished by integrated optical filters. Detection is accomplished utilizing…

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• Apparatus and methods for high resolution separation of sample components on microfabricated channel devices

  OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2023-01-23

  articleOpen access1st authorCorresponding

  Sample component separation apparatus and methods are described. An exemplary sample component separation apparatus includes a separation channel having a turn portion configured to reduce band-broadening caused by passage of a sample through the turn portion. To reduce band broadening caused by passage of a sample through a turn portion, the turn portion may be constructed and arranged to have a sample transport characteristic that is different from the corresponding sample transport characteri…

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Frequent coauthors

• Johan Lugtenburg

  Leiden University

  187 shared

• Stephen P. A. Fodor

  79 shared

• Chris Winkel

  Givaudan (Netherlands)

  71 shared

• Ronald Gebhard

  66 shared

• Dagmar Ringe

  64 shared

• George Thomas

  64 shared

• Laurence A. Nafié

  Syracuse University

  64 shared

• Parade Kaback

  University of California, Berkeley

  64 shared

Education

• Helen Hay Whitney Postdoctoral Fellow, Molecular Biophysics and Biochemistry

  Yale University

  1976

• Ph. D., Chemistry

  Cornell University

  1973

• BS, Chemistry

  University of Washington

  1968

Awards & honors

• NSF CAREER Award (2024)
• Johns Hopkins Discovery Awards (2024)
• Paul and Daisy Soros Fellow (2024)

Similar researchers at University of California, Berkeley

• Alan Yuilleh-134
• Rama Chellappah-124
• Michael I. Millerh-106