~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.
After joining GE Research as a magnetic resonance scientist in 2008, Desmond worked on multiple projects at various stages of the R&D pipeline. One of his earliest works at GE Research was the conception of a dual-function MRI-RF hyperthermia applicator for improved imaging and targeted application of sub-lethal heat that is used as an adjuvant to radio- or chemotherapy for cancer treatment. This work was recognized with a first-prize award in the engineering category at the ISMRM 2011 conference.
Weston Griffin is a principal mechatronics engineer at GE Research in Niskayuna, New York. Dr. Griffin brings to this role significant experience in early-stage engineering design, project leadership, and cross-functional team-building, as well as a history of automation-related research and development know-how for the healthcare industry.
