photo_rahul Professor Rahul Sarpeshkar is a tenured professor at MIT. His longstanding and frequent work in analog and biological computation, his recent book, Ultra Low Power Bioelectronics: Fundamentals, Biomedical Applications, and Bio-inspired Systems, and his recent NATURE paper “Synthetic Analog Computation in Living Cells” have pioneered the use of analog circuits in synthetic and systems biology: Analog Synthetic Biology. His unique Analog Circuits and Biological Systems lab creates both wet DNA-protein and dry electronic analog circuits, many of which have achieved world records. He holds over 30 patents and has authored more than 125 publications, including one that was featured on the cover of Nature.
He has won several awards for his interdisciplinary analog computation, bio-inspired, and biomedical research including the NSF Career award, the ONR Young Investigator award, and the Packard Fellow award given to outstanding faculty. He was a speaker at the 2011 ‘Frontiers of Engineering’ conference hosted by the National Academy of Engineering. His recent work on a glucose fuel cell for medical implants was featured by BBC Radio, the Economist, and listed among Scientific American’s top ten breakthroughs of 2012. Professor Sarpeshkar obtained Bachelor’s degrees in Electrical Engineering and Physics at MIT. After completing his PhD at CalTech, he joined Bell Labs as a physics member of technical staff in their department of biological computation. He then joined MIT as a faculty member.


ramez Ramiz Daniel
Postdoctoral Research Fellow

Ramiz Daniel works on analog synthetic biology. He is the first author of the NATURE paper on synthetic analog computation in living cells (doi:10.1038/nature12148).

jaewook Jaewook Kim
Postdoctoral Research Fellow

Jaewook Kim works on synthetic analog circuits in living cells, particularly in E. coli and yeast. He is also an advanced analog electronic circuit designer.

photo Ji Zeng
Postdoctoral Research Fellow

photo(1) Areen Banerjee
Postdoctoral Research Fellow

sungsik Sung Sik Woo
Graduate Student

Sung Sik Woo works on analog supercomputing chips for synthetic and systems biology.

Macad_140625_DSC6462-Edit Jonathan Teo
Graduate Student

photo_ben Benjamin Rapoport
Graduate Student

Ben works on glucose fuel cells for brain implants and on novel analog computing algorithms.

photo_woradorn Woradorn Wattanapanitch
Graduate Student

Woradorn works on analog electronic chips for brain implants.

anne Anne Ziegler
Graduate Student

Anne works on analog circuit models of metabolism in living cells.

photo (2) Issac Weaver
Undergraduate in Physics and Biophysics

ala Ala’a A Siam
Undergraduate in Biology and Engineering

Ala’a Siam works on analog circuits for measuring activity in bacteria.

weitong Wei Tong
Visiting Scientist

Wei Tong works on advanced computational models of cells for synthetic and systems biology that are based on analog circuits.

photo_mandal Soumyajit Mandal
Research Associate

Soumyajit Mandal works on analog supercomputing chips for systems and synthetic biology.


photo_tim Tim Lu

Tim Lu worked on a model of the cochlea that showed how it performed fast amplification with slow outer hair cells. He also worked on gain control circuits in a cochlear-implant processor.

photo_scott Scott Arfin

Scott worked on energy-recycling nerve stimulation and on analog circuits for wireless brain-machine interfaces.

photo_serhii2 Serhii Zhak

Serhii M. Zhak worked on low-power analog and bio-inspired circuits for hearing and cochlear implants.

photo_keng_hoong Keng-Hoong Wee

Keng Hoong worked on analog and bio-inspired circuits for creating the first-ever analog silicon vocal tract.

photo_lorenzo Lorenzo Turicchia

Lorenzo Turicchia worked on algorithms for noise reduction in hearing, cochlear implants, cardiac monitoring, and brain-machine interfaces.

photo_micah Micah O’Halloran

Micah O’Halloran worked on analog-memory and ultra-low-power imager circuits.

photo_alex Alex Mevay

Alex Mevay worked on a predictive comparator with adaptive control to vastly improve energy efficiency.

photo_mazier Maziar Tavakoli-Dastjerdi

Maziar Tavakoli-Dastjerdi worked on an ultra-sensitive MEMS capacitance sensor and on high-performance photoreceptors and pulse oximeter circuits.

photo_heemin Heemin Yang

Heemin worked on an ultra-energy-efficient time-based analog-to-digital converter inspired by the operation of spiking neurons.

photo_chris Chris Salthouse

Chris worked on low-power linear and nonlinear filter and spectral analysis architectures for cochlear implants.

photo_michael Michael Baker

Michael worked on low-power microphone and AGC circuits for cochlear implants and on ultra-energy-efficient wireless power links for bionic implants.

photo_jijon Ji-Jon Sit

Jijon worked on an asynchronous interleaved algorithm and chip for encoding music and lowering stimulation power in cochlear implants.

photo_mary Mary O’Malley

Mary O’Malley was a former administrative assistant for the group.