For most of his career, Brian has focused on practical applications of gene delivery and cell therapy. At GE Research, Brian has led and contributed to programs related to cell therapy, gene therapy, pluripotent stem cell and hematopoietic cell expansion in bioreactors, closed system cell harvesting and passaging, novel approaches for DNA delivery into human cells, plasma medicine, and tool development for microfluidics, biomarker characterization, sterilization, and filtration.
Fiona leads a group of cellular and molecular scientists in Biosciences who are inventing new methods and applications for the life sciences industry, including new cell therapy workflows, forensics, synthetic biology and cell imaging.
Shiraj Sen is a lead scientist at GE Research, where, as part of the GE Robotics team, he is responsible for research, development, and deployment of real-world systems for aerial and ground robots.
Predictive Maintenance technologies aim to detect, diagnose, and predict failures and degradation in machine components prior to criticality. The ultimate goal is to prevent downtime, identify root causes for follow-up action, and enable efficient evidence-based maintenance planning and optimization.
A Digital Twin is a digital model of an industrial asset—like a jet engine or a wind turbine. They are built by continuously collecting data off physical and virtual sensors on the asset and analyzing the data to gain unique insights about performance and operation that drive business value and outcomes.