Jonathan Viventi

Jonathan Viventi

Assistant Professor

Electrical and Computer Engineering

Biography

Jonathan Viventi joined the Department of Electrical and Computer Engineering as an Assistant Professor. Previously, he was a Kirschstein-NRSA Postdoctoral Fellow at the University of Pennsylvania in the Institute for Medicine and Engineering. Dr. Viventi earned his Ph.D. in Bioengineering from the University of Pennsylvania and his M.Eng. and B.S.E. degrees in Electrical Engineering from Princeton University. Dr. Viventi's research applies innovations in flexible electronics, low power analog circuits, and machine learning to create new technology for interfacing with the brain at a much finer scale and with broader coverage than previously possible. He creates new tools for neuroscience research and technology to diagnose and treat neurological disorders, such as epilepsy. Using these tools, he collaborates with neuroscientists and clinicians to explore the fundamental properties of brain networks in both health and disease. His research program works closely with industry, including filing five patents and several licensing agreements. His work has also been featured as cover articles in Science Translational Medicine and Nature Materials, and has also appeared in Nature Neuroscience, the Journal of Neurophysiology, and Brain. Dr. Viventi has received several awards for his work, including the Mahoney Institute of Neurological Sciences / Neuroscience Graduate Group Flexner Award for Best Neuroscience Thesis at the University of Pennsylvania, Solomon R. Pollack Award for Best Thesis in the Department of Bioengineering at the University of Pennsylvania, and the Nano/Bio-Interface Center Graduate Research Award for Best Graduate Research on Nanotechnology Applied to Biology at the University of Pennsylvania.

Journal Articles

A. Ritaccio, M. Beauchamp, C. Bosman, P. Brunner, E. Chang, N. Crone, A. Gunduz, D. Gupta, R. Knight, E. Leuthardt, B. Litt, D. Moran, J. Ojemann, J. Parvizi, N. Ramsey, J. Rieger, J. Viventi, B. Voytek, J. Williams, and G. Schalk, “Proceedings of the third international workshop on advances in electrocorticography.,” Epilepsy & Behavior, vol. 25, Dec. 2012, pp. 605–13. PMID: 23160096

J. Viventi, D. Kim, L. Vigeland, J.A. Blanco, Y. Kim, A. Avrin, V. Tiruvadi, S. Hwang, A. C. Chamberlain, D.F. Wulsin, K. Davis, E.S. Frechette, C. Gelber, R. Yaffe, L. Palmer, J.V. Spiegel, J. Wu, J. Xiao, Y. Huang, D. Contreras, J.A. Rogers, and B. Litt, “Flexible, foldable, actively multiplexed, high-density electrode array for mapping brain activity in vivo.,” Nature Neuroscience, vol. 14, Dec. 2011, pp. 1599–605.
PMCID: PMC3235709

D. Kim, N. Lu, R. Ghaffari, Y. Kim, S. P. Lee, L. Xu, J. Wu, R. Kim, J. Song, Z. Liu, J. Viventi, B. Graff, B. Elolampi, M. Mansour, M. J. Slepian, S. Hwang, J. D. Moss, S. Won, Y. Huang, B. Litt and J. A. Rogers, “Materials for multifunctional balloon catheters with capabilities in cardiac electrophysiological mapping and ablation therapy.,” Nature Materials, Mar. 2011, pp. 1–8. PMCID: PMC3132573

J.A. Blanco, M. Stead, A. Krieger, W. Stacey, D. Maus, E. Marsh, J. Viventi, K.H. Lee, R.W. Marsh, B. Litt, and G.A. Worrell, “Data mining neocortical high-frequency oscillations in epilepsy and controls.,” Brain : a journal of neurology, Sep. 2011. PMCID: PMC3187540

A. Ritaccio, D. Boatman-Reich, P. Brunner, M.C. Cervenka, A.J. Cole, N. Crone, R. Duckrow, A. Korzeniewska, B. Litt, K.J. Miller, D.W. Moran, J. Parvizi, J. Viventi, J. Williams, and G. Schalk, “Proceedings of the second international workshop on advances in electrocorticography.,” Epilepsy & Behavior, vol. 22, Dec. 2011, pp. 641–50. PMID: 22036287

J. Viventi, D. Kim, J.D. Moss, Y. Kim, J.A. Blanco, N. Annetta, A. Hicks, J. Xiao, Y. Huang, D.J. Callans, J.A. Rogers, and B. Litt, “A Conformal, Bio-Interfaced Class of Silicon Electronics for Mapping Cardiac Electrophysiology,” Science Translational Medicine, vol. 2, 2010, pp. 24ra22–24ra22 (cover article).
PMCID: PMC3039774

D. Kim, J. Viventi, J.J. Amsden, J. Xiao, L. Vigeland, Y. Kim, J.A. Blanco, B. Panilaitis, E.S. Frechette, D. Contreras, D.L. Kaplan, F.G. Omenetto, Y. Huang, K. Hwang, M.R. Zakin, B. Litt, and J.A. Rogers, “Dissolvable films of silk fibroin for ultrathin conformal bio-integrated electronics.,” Nature Materials, Apr. 2010, pp. 1–8 (cover article). PMCID: PMC3034223

J.A. Blanco, M. Stead, A. Krieger, J. Viventi, W.R. Marsh, K.H. Lee, G.A. Worrell, and B. Litt, “Unsupervised classification of high-frequency oscillations in human neocortical epilepsy and control patients.,” Journal of Neurophysiology, vol. 104, Nov. 2010, pp. 2900–12. PMCID: PMC2997042

 These authors contributed equally to this work.

Other Publications

T. Kim, N.S. Artan, J. Viventi, and H.J. Chao, “Spatiotemporal compression for efficient storage and transmission of high-resolution electrocorticography data,” 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, 2012, pp. 1012–1015.

J. Viventi and J.A. Blanco, “Development of high resolution, multiplexed electrode arrays: Opportunities and challenges,” 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, 2012, pp. 1394–1396.

A.C. Chamberlain, J. Viventi, J.A. Blanco, D.-H. Kim, J.A. Rogers, and B. Litt, “Millimeter-scale epileptiform spike patterns and their relationship to seizures,” 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, 2011, pp. 761–764. PMID: 22254422

H. Bink, Y. Lai, S.R. Saudari, B. Helfer, J. Viventi, J. Van der Spiegel, B. Litt, and C. Kagan, “Flexible organic electronics for use in neural sensing,” 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, 2011, pp. 5400–5403. PMID: 22255558

D.-H. Kim, J.A. Rogers, J. Viventi, and B. Litt, “Flexible biomedical devices for mapping cardiac and neural electrophysiology,” 2011 International Reliability Physics Symposium, IEEE, 2011, pp. 2E.1.1–2E.1.2.

J. Viventi, J. Blanco, and B. Litt, “Mining terabytes of submillimeter-resolution ECoG datasets for neurophysiologic biomarkers.,” 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2010, pp. 3825–3826. PMCID: PMC3132566
 

Education

University of Pennsylvania, Class of 2010

Doctor of Philosophy, Bioengineering

Princeton University, Class of 2004

Master of Engineering, Electrical Engineering

Princeton University, Class of 2003

Bachelor of Science in Engineering, Electrical Engineering

Experience

MC10, Inc.

Consultant

From: August 2010 to present

Qualcomm, Inc.

Consultant

From: August 2006 to September 2009

Flarion Technologies, Inc. (acquired by Qualcomm)

Architecture and Algorithms Engineer

From: June 2004 to September 2006

Awards + Distinctions

  • 2012 Citizens United for Research in Epilepsy (CURE) - Taking Flight Award
  • 2011 Grass Foundation – American Epilepsy Society (AES) Young Investigator Travel Award
  • 2010 Mahoney Institute of Neurological Sciences / Neuroscience Graduate Group Flexner Award for best neuroscience thesis at the University of Pennsylvania
  • 2010 Beckman Institute Postdoctoral Fellowship
  • 2010 Ruth L. Kirschstein-National Service Research Award
  • 2010 Solomon R. Pollack Award for best thesis in the Department of Bioengineering at the University of Pennsylvania
  • 2010 Neural Interfaces Conference Travel Award
  • 2009 Nano/Bio Interface Center Graduate Research Award for the best graduate research at the University of Pennsylvania on Nanotechology applied to Biology
  • 2003, 2004 - Two Outstanding Teaching Assistant Awards from the Princeton University Electrical Engineering department

Research Interests

My research applies innovations in flexible electronics, low power analog circuits, and machine learning to create new technology for interfacing with the brain at a much finer scale and with broader coverage than previously possible. My lab aims to creates new tools for neuroscience research and technology to diagnose and treat neurological disorders, such as epilepsy.

Grants

Responsive patterned microstimulation to abort seizure initiating, (PI)

CURE: Citizens United for Research in Epilepsy

The major goals of this project are to design and test multiplexed stimulation circuits in flexible, active electrode arrays and to validate that specifically designed spatiotemporal micro-stimulation patterns can disrupt or silence pathologic activity such as micro-seizures or HFOs.

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