Full Stack Engineer
Lisa joined the software engineering team at the Allen Institute in July 2017. Her work includes redesigning the Allen Cell website to make publicly available the wide array of tools, data, and cell models developed at the institute. Additionally, she is developing interactive internal tools for visualizing the cell in 3D from microscope images and segmentations. Prior to joining the Allen Institute, she worked for 3 years at a software consulting company where she built enterprise-scale applications for a variety of companies across the country. This experience helped her gain an appreciation for leveraging the best modern web technologies and user interface development. Lisa was excited to find a place to bring her software expertise to cutting-edge medical research.
Lisa received a B.S. in Bioengineering from the University of Washington in 2014. As a student, she worked as a research assistant under Dr. Colin Studholme at the Biomedical Image Computing Group. As part of her research, she built a predictive model of brain development in preterm infants that leveraged image registration and machine learning programs to automatically segment brain regions in MR scans.