- microelectromechanical systems (MEMS)
- neural interfaces
- synthetic biology
- micro / nanofabrication
Associate Professor, University of California, Berkeley
Department of Electrical Engineering and Computer Sciences
Michel M. Maharbiz is an Associate Professor with the Department of Electrical Engineering and Computer Science at the University of California, Berkeley.
He received his Ph.D. from the University of California at Berkeley for his work on microbioreactor systems under Professor Roger T. Howe (EECS) and Professor Jay D. Keasling (ChemE). His work led to the foundation of Microreactor Technologies, Inc. which was acquired in 2009 by Pall Corporation. From 2003 to 2007, Michel Maharbiz was an Assistant Professor at the University of Michigan, Ann Arbor. He is the co-founder of Tweedle Technologies, Cortera Neurotech and served as vice-president for product development at Quswami, Inc. from July 2010 to June 2011.
Prof. Maharbiz is a Bakar Fellow and was the recipient of a 2009 NSF Career Award for research into developing microfabricated interfaces for synthetic biology. His group is also known for developing the world’s first remotely radio-controlled cyborg beetles. This was named one of the top ten emerging technologies of 2009 by MIT’s Technology Review (TR10) and was in Time Magazeine’s Top 50 Inventions of 2009. Dr. Maharbiz has been a GE Scholar and an Intel IMAP Fellow. Professor Maharbiz’s current research interests include building micro/nano interfaces to cells and organisms and exploring bio-derived fabrication methods. Michel’s long term goal is understanding developmental mechanisms as a way to engineer and fabricate machines.”
Yazdan-Shahmorad A, Diaz-Botia C, Hanson TL, Kharazia V, Ledochowitsch P, Maharbiz MM, and Sabes PN (2016). “A Large-Scale Interface for Optogenetic Stimulation and Recording in Nonhuman Primates.” Neuron, Volume 89, Issue 5, 927-939.
Orsborn AL, Wang C, Chiang K, Maharbiz MM, Viventi J, and Pesaran B (2015). “Semi-chronic chamber system for simultaneous subdural electrocorticography, local field potentials, and spike recordings.” InNeural Engineering (NER), 7th International IEEE/EMBS Conference on, pp. 398-401.
Chamanzar M, Garfield D, Sohal V, Cohen B, Schuck PJ, and Maharbiz MM (2015). “Tether-less Implantable Upconverting Microscale Light Bulbs for Deep Brain Neural Stimulation and Imaging.” in CLEO: 2015, Optical Society of America Technical Digest, paper AM2J.8.
Chamanzar M, Huh M, DO N, Alam MR, and Maharbiz MM (2015). “Virtual Acousto-optic Beam Paths for Steerable Deep-tissue Optical Stimulation and Imaging.” in CLEO: 2015, Optical Society of America Technical Digest, paper JW2A.90.
Muller R, Le HP, Li W, Ledochowitsch P, Gambini S, Bjorninen T, Koralek A, Carmena JM, Maharbiz MM, Alon E, and Rabaey JM (2015). “A minimally invasive 64-channel wireless μECOG implant.” Solid-State Circuits, IEEE Journal of, Jan;50(1):344-59.
Chamanzar M, Denman DJ, Blanche TJ, and Maharbiz MM (2015). “Ultracompact optoflex neural probes for high-resolution electrophysiology and optogenetic stimulation.” In Micro Electro Mechanical Systems (MEMS), 2015 28th IEEE International Conference on, pp. 682-685.
Seo D, Carmena JM, Rabaey JM, Maharbiz MM, and Alon E (2014). “Model Validation of Untethered, Ultrasonic Neural Dust Motes for Cortical Recording.” J Neurosci Methods. 2015 Apr 15;244:114-22.
Seo D, Carmena JM, Rabaey JM, Alon E, and Maharbiz MM (2013). “Neural Dust: An Ultrasonic, Low Power Solution for Chronic Brain-Machine Interfaces.” arXiv, 1307.2196.