Technion – Israel Institute of Technology
In a nutshell
My research group group focuses on the fundamental design principles of biological circuits within living cells. The key research areas of interest supporting this are synthetic biology, system biology, bioelectronics, biosensors and bio-inspired computing.
British Neuroscience Association (BNA) Society for Neuroscience (SFN)
Federation of European Neuroscience (FENS)
Assistant Professor of Synthetic Biology and Bioelectronics
Dr Daniel leads the Synthetic Biology and Bioelectronics group at Technion. He received the B.Sc. degree in electrical engineering from Israel Institute of Technology in 2001, and the M.Sc. and Ph.D. in electrical engineering from Tel-Aviv University in 2010. From 2000 to 2006 Ramez was with Tower Semiconductor as a device/design engineer, and was a post-doctoral research fellow at Massachusetts Institute of Technology (MIT) from 2010-2014. During his work in MIT, Ramez has pioneered a new approach to design biological circuits called “analog genetic circuits”. Ramez won several awards and prizes (Leader in Science and Technology young academic chair, MAOF Fellowship for new faculty members, VATAT Fellowship for Ph.D. Study, Cum Laude for M.Sc. Study). His current research is focused on synthetic computation in living cells, bioelectronics and bioinspired technology for biomedical and biotechnology applications.
- X. Li, L. Rizik, V. Kravchik, M. Khoury, N. Korin & R. Daniel, Synthetic neural-like computing in microbial consortia for pattern recognition, 2021, Nature Communications volume 12, Article number: 3139
- H. Abo Hana, L. Danial, S. Kvatinsky, and R. Daniel, 2020, Cytomorphic Electronics with Memristors for Modeling Fundamental Genetic Circuits, IEEE Transactions on Biomedical Circuits and Systems, (in press). IEEE transactions on biomedical circuits and systems, doi: 10.1109/TBCAS.2020.296663
- L. Danial, E. Pikhay, E. Herbelin, N. Wainstein, V. Gupta, N. Wald, Y. Roizin, R. Daniel, and S. Kvatinsky, 2019, A Low-Power Memristive Operation Mode of Two-Terminal Floating-Gate Transistors for Analogue Neuromorphic Computing, Nature Electronics, doi:10.1038/s41928-019-0331-1
- R. Daniel, J. Rubens, R. Sarpeshkar, and T. K. Lu, 2013, Synthetic Analog Computation in Living Cells, Nature, doi:10.1038/nature12148
- R. A. Sinni and R. Daniel, 2019, Biophysical Analysis for Implementing Genetic Associative Memory Using Hopfield Networks, IEEE Biomedical Circuits and Systems Conference (BioCAS), Japan, 10.1109/BIOCAS.2019.8919076