Lacey leads an Informatics team focused on analyzing clinical and translational data to answer questions like “Which patients respond to therapy, and why?”. In particular, her team focuses on building world-class software to organize and analyze both clinical data and molecular data from over 15 translational assays. The Informatics team uses this software to gain insights that directly translate to improvements in Parker’s clinical and research programs. Lacey has been applying computational methods to the analysis of biological data for over 15 years, including in her PhD in Electrical Engineering from Stanford and undergrad in Math and Physics from MIT. In her work at Stanford, she developed novel machine algorithms to study optical brain imaging data. Most recently before the Parker Institute, she led a Data Science team at Nuna, Inc., where her team focused on building recommendation systems for doctors and hospitals using healthcare data.
Track Chair: Sharon Benzeno, Adaptive Biotechnologies