Staff Profiles

Chris Chronopoulos, M.Sc.

Senior Engineer

Chris is an embedded systems engineer with diverse experience in scientific data acquisition and project management. He has developed hardware and software for neuroscience research in both industry and academia, and has managed R&D for a number of NIH-funded SBIR projects, including high-channel count electrophysiology and light-field microscopy. At the Allen Institute for Neural Dynamics, Chris directs instrumentation development for the various experimental platforms, and cultivates an open source practice in the documentation and distribution of technology. He earned a BS in physics from MIT, and an MS in astrophysics from the University of Colorado Boulder, where he studied the solar interior using massively parallel computer simulations.


Research Interests

Chris is interested in multimodal, high-throughput data acquisition, experimental control and automation for neuroscience. For electrophysiology, this means extracellular multi-electrode arrays, control systems for animal behavior, and automated spike-sorting. For microscopy, this means light-sheet, light-field, and scanning two-photon techniques, along with computational imaging and data analysis. Most projects involve pushing the limits of data transfer, storage, and processing.


  • Embedded systems
  • Electrical engineering
  • Software development
  • Signal processing
  • Data analysis
  • High-performance computing
  • Numerical modeling and simulation


Selected Publications

Automated in vivo patch-clamp evaluation of extracellular multielectrode array spike recording capability

Journal of Neurophysiology
October 4, 2018

Allen BD, Caroline Moore-Kochlacs C, Bernstein JG, Kinney JP, Scholvin J, Seoane LF, Chronopoulos C, Lamantia C, Kodandaramaiah SB, Tegmark M, Boyden ES

The astrosphere of the asymptotic giant branch star IRC +10216

The Astrophysical Journal Letters
February 17, 2010

Sahai R, Chronopoulo CK