Members

maysamMaysam Chamanzar
postdoc (co-advised with Tim Blanche)
chamanzar@berkeley.edu
CV
Maysam is co-advised by Tim Blanche as part of an NSF-funded effort to develop implantable electrical/optical neural interfaces. He received his Ph.D. in Electrical and Computer Engineering from the Georgia Institute of Technology in 2012. His Ph.D. thesis was on developing novel hybrid plasmonic-photonic on-chip biochemical sensors. Maysam received his M.Sc. in Electrical Engineering majoring in Microsystems from the Georgia Institute of Technology in 2008. He has also received a M.Sc. degree in Electrical Engineering majoring in microwaves and optics from Sharif University in 2005. He received his B.Sc. in Electrical Engineering in 2003 from Tehran Polytechnique (AmirKabirUniversity). Maysam has received and have been nominated for a number of awards such as the SPIE research excellence award, GTRIC innovation award, OSA Emil Wolf best paper award, and Edison innovation award.  Maysam’s current research interests include the design and implementation of optoelectrical integrated neural interfaces to explore and control the brain activity.

camiloCamilo Diaz-Botia
PhD candidate (co-advisedwith Philip Sabes lab, UCSF)
cadiazb@berkeley.edu
CV Link

Camilo received his B.S. in Electrical Engineering from Universidad Nacional de Colombia. He spent over 2 years doing research in microfluidic platforms at the Lawrence Berkeley National Lab and UCSF, working on the development of new technologies for high throughput peptide synthesis that can be applied to vaccine development and food allergy assays, among other things. He also worked in collaboration with the Joint Center for Artificial Photosynthesis and developed a test-bed for proton permeable membranes and photocatalyzers for the development of materials for solar fuel production. He joined the Bioengineering jPhD program at UC Berkeley/UCSF to work in neural engineering developing technologies for Brain-Machine interfaces.

happy2Tim Hanson
Research Scientist (co-advised with Philip Sabes lab, UCSF)
tlh24@berkeley.edu; phy.ucsf.edu
CV
Timothy Hanson holds a BS in Electrical and Computer engineering from Cornell University, and a PhD in Neurobiology from Duke University. At Cornell he specialized in digital signal processing, ASIC design, and power electronics. After Cornell, he worked in the lab of John Chapin at SUNY Downstate where he worked to advance the wireless backpack of the RoboRat. Subsequently, at Duke he did research in  three core areas: functional recordings for Parkinsonian patients, microstimulation for closed-loop brain-machine interfaces (BMIs), and wireless neural recording for BMIs in freely moving primates. He is currently working as a research engineer at University of California San Francisco and Berkeley (UCSF and UCB), where, in the labs of Philip Sabes and Michel Maharbiz, respectively, he is working on a “sewing machine” — a roboticized system for inserting thousands of ultra-fine (4um x 15um) flexible polymer fibers into brains for long-term, minimally-invasive recording and stimulation of neurons. This has entailed an enjoyably wide breadth of microfabrication, robotics, thin-film materials science, optics, surgical techniques, metrology, chemistry, histology, electrophysiology, and system integration.

LiaoAmy

Amy Liao
PhD candidate
amy.liao@berkeley.edu
CV
Amy Liao received a B.S. in Biomedical Engineering from Rice University in 2012. At Rice, she worked on developing and optimizing a multiplexed microfluidic immunoassay to diagnosis ovarian cancer. For her senior thesis, she designed a low-cost, portable endoscope for use in the developing world. Amy is currently pursuing a Ph.D. in Biomedical Engineering at UC Berkeley, with an emphasis in biomedical instrumentation. She’s jumping in to the NSF EFRI project.

LinMonicaMonica Lin
PhD candidate
monica.lin@berkeley.edu
CV
Monica Lin received her B.S. in Chemical Biology with a Bioengineering minor from UC Berkeley in 2012. Undergraduate research projects included 3D image segmentation of the termite hindgut with applications in biofuels, genome reannotation of sulfate-reducing bacteria for bioremediation (synthetic biology), and development of a microfluidic device for disease diagnostics. She is currently in the UCSF/UC Berkeley Bioengineering PhD program with a research focus in medical devices, and is very interested in overcoming translational challenges by
bridging the gap between engineers and clinicians to address unmet clinical needs.

Lorek2Michael Lorek
PhD candidate (co-advised with Elad Alon and Kris Pister)
mlorek@EECS.Berkeley.EDU
CV
Michael Lorek received the B.S. degree from Ohio University in Electrical Engineering in 2009.  He is currently pursuing the Ph.D. degree in EECS at UC Berkeley under Prof. Kris Pister.  Mike’s research interests include energy harvesting interface circuits, energy efficient electronics, and sensor node component integration.  Mike has also completed internships at Advanced Micro Devices in 2007 & 2008, National Institute of Standards and Technology in 2009, and Qualcomm, Inc. in 2011 & 2012.

 

BochaoLuPhD candidate
steven_lu@berkeley.edu
CV
Bochao Lu received his B.S. in Bioengineering&Material Science Engineering Joint major from UC Berkeley in 2014. His undergraduate research projects includes the role of Sox10 lineage cells in scar formation and digit regeneration, effect of nanotopography on multipotent vascular stem cells (MVSCs), mesenchymal stem cells (MSCs) induced pluripotent stem cells (iPSCs) and human embryonic stem cells (hESCs) differentiation. Bochao’s current research interest focuses on fast electrical detection of low-concentration biomarker on the basis of nanoparticles and microfluidic devices.

 

travis_photo

Travis Massey

PhD candidate
tlmassey@EECS.Berkeley.edu
CV
Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Nam cursus. Morbi ut mi. Nullam enim leo, egestas id, condimentum at, laoreet mattis, massa. Sed eleifend nonummy diam. Praesent mauris ante, elementum et, bibendum at, posuere sit amet, nibh. Duis tincidunt lectus quis dui viverra vestibulum. Suspendisse vulputate aliquam dui. Nulla elementum dui ut augue. Aliquam vehicula mi at mauris. Maecenas placerat, nisl at consequat rhoncus, sem nunc gravida justo, quis eleifend arcu velit quis lacus. Morbi magna magna, tincidunt a, mattis non, imperdiet vitae, tellus. Sed odio est, auctor ac, sollicitudin in, consequat vitae, orci. Fusce id felis. Vivamus sollicitudin metus eget eros.

djseo

DJ Seo
PhD candidate (co-advised with Elad Alon)
djseo@eecs.berkeley.edu
CV
Dongjin (DJ) Seo is the recipient of a NSF Graduate Research Fellowship and is currently pursuing his PhD in Electrical Engineering with an emphasis on low-power integrated circuit design and brain machine interfaces. He received the B.S. degree in Electrical Engineering with honors from the California Institute of Technology in 2011. At Caltech, DJ designed and fabricated microfluidic calorimeters for high-throughput biochemical measurements at the Kavli Nanoscience Institute and for his undergraduate thesis, demonstrated the world’s first all-silicon THz imaging system in CMOS for security imaging and microscopy of biological specimens. DJ has also completed internships at Jet Propulsion Laboratory and Altera Corporations.

konlin_maharbizgroupKonlin Shen
PhD candidate
konlin@berkeley.edu
CV
Konlin is pursuing a Ph.D. in EECS at University of California, Berkeley with an emphasis in neuroengineering.  He received his B.A. in Physics with a secondary in Computer Science from Harvard University in 2013.  His undergraduate research focused on how simple organisms such as C. elegans and fruit flies integrate sensory stimuli into motor behavior.

 

 

tomTom Zadjel
PhD candidate
zajdel@eecs.berkeley.edu
CV
Tom received his BS in Electrical and Computer Engineering from the Ohio State University in 2012. During his undergraduate years, Tom modeled electromagnetic field scattering from rough surfaces and interned with the defense (SRC Inc) and diaper (Procter & Gamble) industries. His undergraduate thesis “Asynchronous Stimulation for Cochlear Implants” investigated the perception of phase information in cochlear implant users. He also served as an award-winning teaching assistant for Ohio State’s first-year engineering honors program. Tom is currently pursuing an MS/PhD in Electrical Engineering at Berkeley, with unofficial emphasis in biological systems and control.

photo_1409761144Alyssa Zhou
PhD Candidate
alyssa.zhou@berkeley.edu
CV
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JonathanTuJonathan Tu (co-advised with Murat Arcak)
postdoc
jhtu@eecs.berkeley.edu
CV / personal website
Jonathan comes to us from Princeton University, where he recently received a Ph. D. in Mechanical and Aerospace Engineering.  His Ph. D research centered on the theory and applications of a numerical method called dynamic mode decomposition, which is used in the fluid mechanics community to analyze high-dimensional datasets that describe nonlinear dynamics.  Prior to that, Jonathan studied at the University of Washington, where he earned a B. S. in Aeronautics and Astronautics, as well as a B. S. in Mathematics.  His various awards include the NSF Graduate Research Fellowship and the Princeton Wu Prize for Excellence.

Alumni

Dr.Tushar Bansal
IME, Singapore

Christopher Berry
meep meep

Dr. Ruba Borno
Boston Consulting Group

Dr. Meng-Ping Chang
MEI Technologies, Inc., NASA Goddard Space Flight Center

Dr. Sisi Chen
Schafer Lab, UCB

Daniel Cohen
W. James Nelson lab, Stanford

Brennan Crispin
meep meep

Dr. Gabriel Lavella
Exponent Consultants

Dr. Daniel Huang
meep meep meep

Dr. Amol Jadhav
Scripps Institute, La Jolla

Prof. Taesung Kim
UNIST, Korea

Joshua van Kleef
Australian National University

Vedavalli Krishnan

Dr. Peter Ledochowitsch
Allen Institute for Brain Science

Dr. Jaehyun Park
Gracias Lab, Johns Hopkins

Brian Pepin
Google

Dr. Mikhail “Mike” Pinelis
President and CEO, MEMS Journal, Inc.

Whijae Roh
Genomic Medicine Institute, Korea

Prof. Hirotaka Sato
NTU, Singapore

Joseph Steinmeyer
Yanik Group, MIT

One thought on “Members

  1. Pingback: Extra Credit: Cross-Cultural Social Media, HIV Treatment Failures, & Bioelectricity

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