Suhasa Kodandaramaiah, PhD

Assistant Professor, Medical Discovery Team on Addiction, College of Science and Engineering

Assistant Professor, Medical Discovery Team on Addiction, College of Science and Engineering

Faculty, Graduate Program in Neuroscience


PhD, Mechanical Engineering, Georgia Institute of Technology, 2013

MS, Mechanical Engineering, University of Michigan, 2008

BE, Mechanical Engineering, Visvesvaraya Technological University, 2006

Post-Doctoral Associate, Media Lab and McGovern Institute for Brain Research, Massachusetts Institute of Technology, 2013-2015

Summary

Suhasa Kodandaramaiah is an Assistant Professor in the Department of Mechanical Engineering at the University of Minnesota. His laboratory focuses on engineering neurotechnologies to interface with the brain at multiple spatial and temporal scales. These include robotic tools for single cell recording and manipulation and #d printed polymer implants for large scale neural activity readout and perturbation.

Expertise

  • Neural Engineering, Neuromodulation,Optical Engineering, Neurotechnology and Instrumentation, Robotics and Automation, Precision Engineering

Awards & Recognition

  • Included in Forbes Magazine’s 2012 list of “30 under 30 rising stars in science and medicine”
  • Outstanding Poster Presentation Award at the Georgia Tech Research and Innovation Conference (GTRIC) (2012)
  • Outstanding Poster Presentation Award at the Georgia Tech Research and Innovation Conference (GTRIC) (2011)
  • R.V. Jones Memorial Scholarship by the American Society of Precision Engineering (ASPE), awarded for the best student paper at the ASPE conference in Atlanta (2010)
  • ME Department International Student Fellowship: Awarded for research and academic achievements by the Department of Mechanical Engineering, University of Michigan (2008)

Research

Research Summary/Interests

    Computations in the brain that mediate behavior occur at multiple spatial and temporal scales. Information is integrated in the brain within single cells, which are interconnected in dense local circuits, which are in turn, incorporated in larger networks spanning many brain regions. A critical challenge for modern neuroscience is to study the brain across these multiple spatial scales. Traditionally, the modalities used to observe activities at one level do not scale to the next level without loss of signal fidelity or information. In our laboratory, we are developing technologies to bridge some of these experimental scales - seeking to both sense and manipulate neural activity with great precision.

Publications

  1. L. Ghanbari*, M. L Rynes*, J. Hu, D. Sousa Schulman, G. W. Johnson, M. Laroque, G. M Shull, S B Kodandaramaiah, Craniobot: A computer numerical controlled robot for cranial microsurgeries, Scientific Reports 2019 *Equal Contribution
  2. S. B. Kodandaramaiah*, F. J. Flores*, G. L. Holst, A. C. Singer, X. Han , E. N. Brown, Edward S. Boyden^, C. R. Forest^ Multi-neuron intracellular recording in vivo via interacting autopatching robots, Elife 2018, * Equal Contribution, ^ Co-corresponding authors
  3. H. J. Suk, I. Van Welie, S. B. Kodandaramaiah, B. D. Allen, C. R. Forest, E. S. Boyden, Closed-Loop Real-Time Imaging Enables Fully Automated Cell-Targeted Patch-Clamp Neural Recording In Vivo, Neuron 2017
  4. N. Grossman, D. Bono, N. Dedic, S. B. Kodandaramaiah, A. Rudenko, H. Suk, A. M. Cassara, E. Neufeld, N. Kuster, L. Tsai, A. Pascual-Leone, E. S. Boyden, Noninvasive Deep Brain Stimulation via Temporally Interfering Electric Fields, Cell 2017
  5. S. B. Kodandaramaiah, I. R. Wickersham, G. B. Holst, A. C. Singer, G. Talei-Franzesi, C. R. Forest, E. S. Boyden, Assembly and operation of the autopatcher for automated intracellular neural recording in vivo, Nature Protocols 2016
  6. S.B. Kodandaramaiah, G. Talei Franzesi, B.Y. Chow, E.S. Boyden, C.R. Forest, Automated whole-cell patch clamp electrophysiology of neurons in vivo. Nature Methods 2012

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