Tzu-Jen (Felix) Kao maintains broad expertise in feasibility studies, conducting experiments, algorithm development, and clinical data analysis for bioelectronics and bioinstrumentation. His experience spans over eighteen years in developing reconstruction algorithms for noninvasive biomedical instrumentation, including impedance tomography, multiple model system design and phantom studies, and three years clinical research experience in cancer detection using a noninvasive bio-impedance technique.

GE's non-invasive SMS-EIT prototype system provides higher signal-to-noise ratio and greater sensitivity to continuously image pulmonary perfusion and ventilation.

T-J. Kao, B. Amm, X. Wang, G. Boverman, D. Shoudy, J. Sabatini, J. Ashe, J. Newell, G. Saulnier, D. Isaacson, D. Davenport, “Real-time 3D electrical impedance imaging for ventilation and perfusion of the lung in lateral decubitus position,” Conference Proceedings–IEEE Engineering in Medice and Biology Society, 2014:1135-8. doi: 10.1109/EMBC.2014.6943795.

For Izzy, GE Research's ability to bring technology to market through GE's industrial businesses is what she's enjoyed most during her experience on the EEDP.

Dr. Ghaemi received the Ph.D. degree in electrical engineering and the M.S. degree in mathematics from University of Michigan in 2010 and 2009 respectively. He was a visiting scholor at ETH in 2008. From 2010 to 2012 he was a post-doctoral associate in the Mechanical Engineering department at MIT, researching supervisory control of order-preserving systems and stochastic analysis of biological systems.

Felix Kao is both a biomedical engineer and a medical doctor who leverages his medical experience to drive engineering solutions in the healthcare industry.

Senior Engineer Donovan Buckley reflects on his work with GE Research and the role models who have inspired him.

Putting optimal back on the table for real applications using Quantum as an accelerator

Matthew Seidel graduated from Clarkson University with a B.S. in Electrical Engineer and Physics. After graduating, Matthew has gained over 5 years of embedded system design experience in both the commercial and defense sectors. His areas of specialization are in FPGA design, high speed digital board design, and embedded programming.

Currently, Matthew is helping in the areas of hardware cyber security, machine learning, and high speed image acquisition. 

Puleo recognized for his leadership advancing the GE Research's Bioelectronic Medicine Program and impact creating new external partnerships and projects for the Lab.