Total 130 result(s)
Displaying all result(s)
No-image-available
Spagnolo, D.M., Al-Kofahi, Y., Zhu, P., Lezon, T.R., Gough, A., Stern, A.M., Lee, A.V., Ginty, F., Sarachan, B., Taylor, D.L. and Chennubhotla, S.C., 2017. Platform for quantitative evaluation of spatial intratumoral heterogeneity in multiplexed fluorescence images. Cancer research, 77(21), pp.e71-e74.
Keeping workers safe through analytics derived from sensor data fusion & aggregation and delivered through pervasive connectivity & real-time visualization
No-image-available
Chen, A., McKinley, S.A., Wang, S., Shi, F., Mucha, P.J., Forest, M.G. and Lai, S.K., 2014. Transient antibody-mucin interactions produce a dynamic molecular shield against viral invasion. Biophysical journal, 106(9), pp.2028-2036.
No-image-available
Chen, A., Bertozzi, A.L., Ashby, P.D., Getreuer, P. and Lou, Y., 2013. Enhancement and recovery in atomic force microscopy images. In Excursions in Harmonic Analysis, Volume 2 (pp. 311-332). Birkhäuser, Boston.
Albany Med nurses
GE Research teams up with NYSID and the Center for Disability Services in Albany to supply 400 face shields to Albany Medical Center.
Aritra Chowdhury

Aritra Chowdhury is a Research Scientist in the Computer Vision and Artificial Intelligence group at GE Research. Artificial Intelligence at the forefront of modern scientific and technological progress. Our goal is to drive innovation at the cutting edge of fundamental and applied research in AI.

Ryan celebrating graduation

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

(photo of Richard Arthur)

Rick Arthur is Senior Principal Engineer for GE Research Digital Technologies, focusing on Advanced Computational Methods Research and its application to Digital Engineering. This involves pathfinding of novel computing hardware and software architectures and connecting these with industrial application opportunities. Rick represents GE on several government and professional community advisory councils.

Invisible now

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.