maysamMaysam Chamanzar
postdoc (co-advised with Tim Blanche)
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)
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 synthesis and sorting of spectrally encoded microbeads to be used in bioassays. 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.

Camilo joined the Bioengineering jPhD program at UC Berkeley/UCSF to work in neural engineering and is currently working in the development of thin film neural probes for large scale-high density recordings with vastly improved device longevity.

StefanieVGarciaStefanie Victoria Garcia
PhD candidate
CV Link
Stefanie received her B.S. in Physics with an emphasis in Biophysics from the University of California, San Diego, in 2012.  She is currently pursuing an MS/PhD in Electrical Engineering at Berkeley, with an emphasis in silicon radiation devices for radiation oncology applications. Her undergraduate research projects include developing biological nanotransistors using carbon and silicon nanowires enveloped in a bilipid membrane layer, and work on a theoretical filtering model to replicate neural visual signal processing of color. After graduation, she worked in radiation safety at UC San Diego and its associated medical centers.  She also has experience in testing RF, mixed signal, and digital integrated circuits products at Maxlinear and MVTS Technologies.  Stefanie is the recipient of the GAANN Fellowship, and the NSF Graduate Research Fellowship.

happy2Tim Hanson
Research Scientist (co-advised with Philip Sabes lab, UCSF);
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.


Amy Liao
PhD candidate
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. Amy’s projects include development of a SMART bandage for the early detection and prevention of pressure ulcers, design of an implantable strain sensor to reduce the recurrence rate of ventral hernia repairs, and design of a low-cost system to diagnose and track the drug treatment efficacy for onchoceriasis in low resource settings. Amy is the recipient of the NSF Graduate Research Fellowship.

MonicaLin_CDMIMonica Lin
PhD candidate
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, and development of a microfluidic device for disease diagnostics. She is currently in the UC Berkeley/UCSF 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. Her dissertation research focuses on the development of a device to monitor bone fracture healing. In addition, she has also contributed to design of a smart bandage to monitor pressure ulcer formation and healing, and development of a non-invasive diagnostic for river blindness. Monica is a recipient of the NSF Graduate Research Fellowship.

Lorek2Michael Lorek
PhD candidate (co-advised with Elad Alon and Kris Pister)
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.


Bochao Lu
PhD candidate
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 detection of low-concentration biomarker on the basis of nano-microfluidic devices.


Travis Massey
PhD candidate
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DSC_0030_1 copyB. Arda Özilgen
PhD Candidate
Arda received his B.S. degree in Biomedical Engineering with multiple honors from The Johns Hopkins University with a designated focus in sensors, instrumentation and micro/nanotechnology. His undergraduate research focused on developing scaffolds and instrumentation to promote osteogenic differentiation of human adipose-derived stem cells. As a Vredenburg Scholar, Arda also worked with a group of researchers led by the chair of the Nobel Committee in Physiology or Medicine to uncover the role of diacylglycerol kinase delta in type 2 diabetes pathogenesis. Arda is currently pursuing a PhD in Bioengineering from the UC Berkeley – UCSF Graduate Program with a focus in bioelectronics, and aims to leverage his understanding of physiology to build novel miniature biomedical devices. He is currently working on the thermal dust project.


David Piech
PhD Student
Bioengineering Joint Program at UC Berkeley and UC San Francisco
David’s research activities focus on neural interface devices and brain-machine interface systems, with the goal of enabling wider adoption of these technologies through vastly reduced-risk in-situ neural recording and stimulation modalities.
Previously, he was a research engineer at a private invention lab and tech incubator where he contributed to research in metamaterials-based antennas (spun out as Echodyne, Inc). In addition, he led and worked on projects in close collaboration with the Bill & Melinda Gates Foundation, including a microfluidic tool to aid in malaria control, a solar-thermal system to improve developing world vaccine accessibility, and emergency infection barrier improvements during the 2014 Ebola outbeak.
He graduated with the B.S. degree from Duke University in 2012, studying Biomedical Engineering and Mechanical Engineering. His research included work on a new microfluidic cell poration technique, a minimally invasive laparoscope, and a robotic bird to study the neurobiology of animal communication.


Dongjin Seo
PhD candidate (co-advised with Elad Alon)
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, Altera Corporations, and Bosch Research and Technology Center.

konlin_maharbizgroupKonlin Shen
PhD candidate
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 Zajdel
PhD candidate
CV / personal website
Tom is a PhD Candidate in Electrical Engineering at UC Berkeley, where he designs microsystems that interface with bacterial cells for low-power, rapid biosensing. His work spans nanofabrication, molecular biology, bioelectrochemistry, and other sundry techniques. Tom is passionate about engineering education and outreach. He and Michel Maharbiz developed EE40LX: Electronic Interfaces, which has reached over 80 thousand students worldwide. Tom is involved in various teaching activities at Berkeley, and has also trained electronics instructors at Northern Technical College in Ndola, Zambia. Prior to his present activities, Tom completed his BS in Electrical and Computer Engineering summa cum laude at (The) Ohio State University in 2012, where he developed speech processing algorithms for cochlear implants and analytic models for electromagnetic wave scattering. He is a recipient of the Berkeley Chancellor’s Fellowship and the NSF Graduate Research Fellowship.

photo_1409761144Alyssa Zhou
PhD Candidate
Alyssa graduated with her BS in Biomedical Engineering with an emphasis in Electrical Engineering from the University of Southern California in 2014.  Since then, she has been pursuing an MS/PhD in Electrical Engineering at the University of California, Berkeley.  Her undergraduate work was in the area of pharmacokinetics and pharmacodynamics.  In graduate school, she has studied in the area of MEMS and is interested in investigating the intersection of electronics and human biology.

JonathanTuJonathan Tu (co-advised with Murat Arcak)
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.


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

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


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