Margeaux’s love for science is deeply rooted. There was never any question she would pursue a career in materials science & engineering.

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. 

Will keep employees on-site at GE's Niskayuna and Schenectady campuses supplied through the temporary shortage

GE- led team to demonstrate embedded sensors in structural composite materials to improve manufacturing and monitoring of parts and components from factory to field

GE Research's multi-gas sensors share the mathematical principles of traditional analytical instruments without their large power, size, and cost limitations.

The Edison Engineering Development Program (EEDP) gave Alex the opportunity to excel and the freedom to fail.

~10 years' wet & solid-state chemistry experience. Strong synthetic, characterization, and processing skills for both inorganic and organic materials. Areas of expertise:

Dr. Naresh Iyer is a Principal Scientist in the AI and Machine Learning group at GE Research. He has 20 years of experience in the research and application of machine learning to a variety of industry problems, including asset life prognostics, surrogate modeling, multi-objective optimization and decision making under uncertainty. He has developed solutions for a diverse range of industrial applications using methods in supervised, unsupervised, semi-supervised learning and evolutionary soft computing. 

Andrey is a Senior Scientist in the Additive Manufacturing group at GE Research in Niskayuna, New York.